https://docs.withperf.pro/
Perf - AI Runtime Orchestrator for LLM Cost Optimization & Quality Control - Perf
Perf is an intelligent AI infrastructure layer that automatically routes LLM requests to optimal models, generates images/audio/video, and enforces output...
llm cost optimizationperfairuntimeorchestrator
https://www.rackspace.com/es-ve/blog/enterprise-considerations-llm-chatbots
Enterprise Considerations For LLM-Powered Chatbots| Rackspace Technology
Oct 8, 2023 - Discover the key considerations for integrating LLM-powered chatbots in your business. This blog guides you through data governance, compliance and strategies...
for llmenterpriseconsiderationspoweredchatbots
https://www.analyticsvidhya.com/courses/building-llm-applications-using-prompt-engineering-free/
Prompt Engineering for LLM | Learn to Build Smarter AI Apps
learn to buildprompt engineeringfor llmsmarterai
https://hyperparam.app/
Hyperparam | AI workbench for LLM datasets
Hyperparam is the AI workbench for LLM datasets that lets you create skills to inspect, query, diagnose and score LLM behavior across multi-gigabyte datasets.
ai workbenchfor llmdatasets
https://www.techtarget.com/searchenterpriseai/tip/How-to-use-LangChain-for-LLM-application-development
How to use LangChain for LLM application development | TechTarget
Learn how to use LangChain for AI and LLM application development, with best practices, prompt and chain tools, and integration with Apache Spark and Kafka.
how to usefor llmapplication developmentlangchaintechtarget
https://openreview.net/forum?id=vizM7B7vuW
Token-Efficient Item Representation via Images for LLM Recommender Systems | OpenReview
Large Language Models (LLMs) have recently emerged as a powerful backbone for recommender systems. Existing LLM-based recommender systems take two different...
for llmrecommender systemstokenefficientitem
https://www.udacity.com/course/fine-tuning-ai-agents-with-reinforcement-learning--cd14714
Reinforcement Learning for LLM Agents | Udacity Course | Udacity
Go beyond prompting. Learn to train and align LLM agents using reinforcement learning and DPO for real-world, multi-step tasks.
reinforcement learningllm agentsudacitycourse
https://moatbuilder.ai/
MoatBuilder.AI | GEO Storytelling Engine for AI + LLM Discovery
MoatBuilder.AI is a Generative Engine Optimization provider and GEO storytelling engine for SMBs and startups that need to reach buyers through AI answers....
ai geoengine forstorytellingllmdiscovery
https://openreview.net/forum?id=rPzbDxcErp&referrer=%5Bthe%20profile%20of%20Anikait%20Singh%5D(%2Fprofile%3Fid%3D~Anikait_Singh1)
Learning to Discover Abstractions for LLM Reasoning | OpenReview
Effective reasoning often requires going beyond pattern matching or memorization of solutions to identify and implement ''algorithmic procedures'' that can be...
to discoverfor llmlearningabstractionsreasoning
https://arxiv.org/abs/2507.07451
[2507.07451] RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning
Abstract page for arXiv paper 2507.07451: RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning
reinforcement learning
https://www.rackspace.com/es-co/blog/enterprise-considerations-llm-chatbots
Enterprise Considerations For LLM-Powered Chatbots| Rackspace Technology
Oct 8, 2023 - Discover the key considerations for integrating LLM-powered chatbots in your business. This blog guides you through data governance, compliance and strategies...
for llmenterpriseconsiderationspoweredchatbots
https://www.rackspace.com/es-mx/blog/enterprise-considerations-llm-chatbots
Enterprise Considerations For LLM-Powered Chatbots| Rackspace Technology
Oct 8, 2023 - Discover the key considerations for integrating LLM-powered chatbots in your business. This blog guides you through data governance, compliance and strategies...
for llmenterpriseconsiderationspoweredchatbots
https://www.databricks.com/blog/LLM-auto-eval-best-practices-RAG
Best Practices for LLM Evaluation | Databricks Blog
This blog post discusses best practices for evaluating retrieval-augmented generation (RAG) applications using large language models (LLMs).
best practices forllm evaluationdatabricksblog
https://qualifire.ai/
AI Control Plane for LLM Reliability
Make sure your AI delivers exactly what you envisioned with Qualifire’s state-of-the-art evaluation, guardrails and controls platform
ai control planefor llmreliability
https://www.analyticsinsight.net/programming/top-10-python-libraries-for-llm-development-you-should-know
Best Python Libraries for LLM Development
From idea to AI app, these Python libraries make LLM development smoother, quicker, and more powerful than you expect.
best python librariesfor llmdevelopment
https://aclanthology.org/2026.eacl-long.331/
BLUR: A Bi-Level Optimization Approach for LLM Unlearning - ACL Anthology
Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong. Proceedings of the 19th...
for llmblurbileveloptimization
https://www.wolfram.com/artificial-intelligence/foundation-tool/
Wolfram Technology as a Foundation Tool for LLM-Based Systems
Add reliable knowledge and computed answers to LLM-based systems. Access open-ended, real-time computations through Wolfram's CAG (computation-augmented...
as a foundationfor llmwolframtechnologytool
https://openreview.net/forum?id=CAeISyE3aR
AutoPDL: Automatic Prompt Optimization for LLM Agents | OpenReview
The performance of large language models (LLMs) depends on how they are prompted, with choices spanning both the high-level prompting pattern (e.g., Zero-Shot,...
prompt optimizationfor llmautomaticagentsopenreview
https://arxiv.org/html/2603.28119v1
Compressing Code Context for LLM-based Issue Resolution
code contextfor llmcompressingbasedissue
https://glidermcp.com/
GliderMCP - C# code navigation for LLM agents
GliderMCP helps LLM coding agents navigate, analyze, and safely refactor C#/.NET codebases through MCP.
c codenavigation forllmagents
https://snyk.io/es/blog/snyk-code-secures-ai-builds/
Snyk Code now secures AI builds with support for LLM sources | Snyk
Jun 25, 2024 - Snyk Code can now protect the use of supported LLM libraries in source code to detect any security issues and promptly alert users. Book a live demo.
snyk codeai buildswith supportfor llmsecures
https://openreview.net/forum?id=RtQLtnuiIn
Offline Reinforcement Learning for LLM Multi-Step Reasoning | OpenReview
Improving the multi-step reasoning ability of large language models (LLMs) with offline reinforcement learning (RL) is essential for quickly adapting them to...
reinforcement learningofflinellmmultistep
https://www.redhat.com/ko/blog/top-10-security-architecture-patterns-llm-applications
Top 10 security architecture patterns for LLM applications
The software industry has started developing a vast array of artificial intelligence (AI) applications based on large language models (LLMs).
security architecturefor llmtoppatternsapplications
https://www.deeplearning.ai/courses/langchain
LangChain for LLM Application Development - DeepLearning.AI
Use the powerful and extensible LangChain framework, using prompts, parsing, memory, chains, question answering, and agents.
for llmapplication developmentlangchaindeeplearning
https://www.datacamp.com/th/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://best-php-scripts.com/
Best PHP AI Scripts for LLM Integration and Automation
Find the best PHP AI scripts to connect your apps with OpenAI, run RAG systems, and automate tasks using large language models. Real code, real results.
ai scriptsfor llmbestphpintegration
https://openreview.net/forum?id=LMuXCe0QfA
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards | OpenReview
LLMs are increasingly used to design reward functions based on human preferences in Reinforcement Learning (RL). We focus on LLM-designed rewards for Restless...
balancing actfor llmprioritizationstrategies
https://syco-bench.com/
syco-bench: A benchmark for LLM Sycophancy
for llmsycobench
https://aclanthology.org/2025.findings-acl.369/
AGRec: Adapting Autoregressive Decoders with Graph Reasoning for LLM-based Sequential...
Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki. Findings of the Association for Computational Linguistics: ACL 2025. 2025.
for llmadaptingdecoders
https://www.wolfram.com/artificial-intelligence/foundation-tool/?source=nav
Wolfram Technology as a Foundation Tool for LLM-Based Systems
Add reliable knowledge and computed answers to LLM-based systems. Access open-ended, real-time computations through Wolfram's CAG (computation-augmented...
as a foundationfor llmwolframtechnologytool
https://aclanthology.org/2025.acl-long.557/
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents - ACL Anthology
Lingxiao Diao, Xinyue Xu, Wanxuan Sun, Cheng Yang, Zhuosheng Zhang. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics...
for llmbenchmarkingdomainorientedguideline
https://www.amazon.science/publications/collage-light-weight-low-precision-strategy-for-llm-training
COLLAGE: Light-weight low-precision strategy for LLM training - Amazon Science
Large models training is plagued by the intense compute cost and limited hardware memory. A practical solution is low-precision representation but is troubled...
light weightfor llmcollagelowprecision
https://www.analyticsvidhya.com/blog/2025/08/memento-guide/
Memento: Continuous Learning for LLM Agent Without Fine-Tuning
Aug 29, 2025 - Stop fine-tuning LLMs. Memento is a new framework that gives LLM agents a human-like memory for continuous learning. Discover how it works.
continuous learningfor llmmementoagentwithout
https://opentelemetry.io/blog/2024/llm-observability/?ref=blog.windkube.com
An Introduction to Observability for LLM-based applications using OpenTelemetry | OpenTelemetry
Mar 2, 2026 - Large Language Models (LLMs) are really popular right now, especially considering the wide range of applications that they have from simple chatbots to Copilot...
an introductionfor llmobservabilitybasedapplications
https://www.informit.com/store/reinforcement-learning-for-llm-alignment-and-reasoning-9780135565025
Reinforcement Learning for LLM Alignment and Reasoning (Video Course) | InformIT
More Than 4 Hours of Video Instruction Learn the post-training techniques that make modern LLMs safe, aligned, and capable of complex reasoning. Overview...
reinforcement learningvideo coursellmalignmentreasoning
https://www.informit.com/store/reinforcement-learning-for-llm-alignment-and-reasoning-9780135565025?w_ptgrevartcl=Reinforcement+Learning+for+LLM+Alignment+and+Reasoning+(Video+Course)_3211110
Reinforcement Learning for LLM Alignment and Reasoning (Video Course) | InformIT
More Than 4 Hours of Video Instruction Learn the post-training techniques that make modern LLMs safe, aligned, and capable of complex reasoning. Overview...
reinforcement learningvideo coursellmalignmentreasoning
https://openreview.net/forum?id=MGceYYNvXp&referrer=%5Bthe%20profile%20of%20Eugene%20Ie%5D(%2Fprofile%3Fid%3D~Eugene_Ie1)
Project MPG: towards a generalized performance quotient for LLM intelligence | OpenReview
There exists an extremely wide array of LLM benchmarking tasks, whereas oftentimes a single number is the most actionable for decision making, especially by...
for llmprojectmpgtowardsgeneralized
https://www.techtarget.com/healthtechanalytics/news/366616099/Study-reveals-cost-efficiency-strategy-for-LLM-deployment
Study reveals cost-efficiency strategy for LLM deployment | TechTarget
Learn how a novel strategy for large language model deployment in healthcare could reduce costs and optimize workflows.
cost efficiencyfor llmstudyrevealsstrategy
https://openreview.net/forum?id=kzccnANFQ7&referrer=%5Bthe%20profile%20of%20Anikait%20Singh%5D(%2Fprofile%3Fid%3D~Anikait_Singh1)
Learning to Discover Abstractions for LLM Reasoning | OpenReview
Effective reasoning often requires going beyond pattern matching or memorization of solutions to identify and implement ''algorithmic procedures'' that can be...
to discoverfor llmlearningabstractionsreasoning
https://openreview.net/forum?id=A6Y7AqlzLW
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning | OpenReview
A promising approach for improving reasoning in large language models is to use process reward models (PRMs). PRMs provide feedback at each step of a...
for llmrewardingprogressscalingautomated
https://openreview.net/forum?id=6cEPDGaShH
Invisible Safety Threat: Malicious Finetuning for LLM via Steganography | OpenReview
Understanding and addressing potential safety alignment risks in large language models (LLMs) is critical for ensuring their safe and trustworthy deployment....
for llminvisiblesafetythreatmalicious
https://arxiv.org/abs/2506.07330
[2506.07330] JavelinGuard: Low-Cost Transformer Architectures for LLM Security
Abstract page for arXiv paper 2506.07330: JavelinGuard: Low-Cost Transformer Architectures for LLM Security
low costfor llmtransformerarchitecturessecurity
https://www.syco-bench.com/
syco-bench: A benchmark for LLM Sycophancy
for llmsycobench
https://www.digitimes.com/news/a20240403PD202/llm-market-ai-apmic-openai.html?dt_ref=tag
Blue-ocean market opportunities for LLM applications, says APMIC CEO Jerry Wu
The landscape of Large Language Model (LLM) applications is still a blue-ocean market boasting wide-open opportunities, with OpenAI being just one of the...
blue oceanmarket opportunitiesfor llm
https://aclanthology.org/2025.coling-main.686/
Self-Evolution Knowledge Distillation for LLM-based Machine Translation - ACL Anthology
Yuncheng Song, Liang Ding, Changtong Zan, Shujian Huang. Proceedings of the 31st International Conference on Computational Linguistics. 2025.
knowledge distillationfor llmmachine translationselfevolution
https://opentools.com/
OpenTools | The API for LLM tool use
One API to use any LLM with every MCP tool
the apifor llmopentoolsuse
https://openreview.net/forum?id=QW4eGh5GT3
Importance of Directional Feedback for LLM-based Optimizers | OpenReview
We study the potential of using large language models (LLMs) as an interactive optimizer for solving maximization problems on a text space using natural...
for llmimportancedirectionalfeedbackbased
https://devtools.orkajs.com/
OrkaJS DevTools - Visual Debugging for LLM Applications
Real-time observability, tracing, and debugging dashboard for OrkaJS agents, RAG, and workflows. Monitor latency, tokens, costs, and replay traces.
for llmdevtoolsvisualdebuggingapplications
https://huggingface.co/papers/2602.16835
Paper page - NeST: Neuron Selective Tuning for LLM Safety
Join the discussion on this paper page
paper pagefor llmnestneuronselective
https://www.ietf.org/archive/id/draft-irtf-nmrg-llm-nm-00.html
A Framework for LLM-Assisted Network Management with Human-in-the-Loop
This document defines an interoperable framework that facilitates collaborative network management between Large Language Models (LLMs) and human operators....
for llmnetwork management
https://chromewebstore.google.com/detail/save-web-to-markdown-for/mamnlljnkigkhppbjhmpdeocobcbobdp
Save: Web to Markdown for LLM Knowledge Bases - Chrome Web Store
Save any webpage as clean Markdown. Connect Save Vault to Claude and unleash your AI's full potential with personal context.
for llmknowledge basessavewebmarkdown
https://form.jotform.com/260351513066045
Risk assessment for LLM applications
Please click the link to complete this form.
risk assessmentfor llmapplications
https://www.datacamp.com/ru/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://infiniflow.org/
AI-native database for LLM | Infinity
ai nativefor llmdatabaseinfinity
https://geekflare.com/api/search/
Best Search API for LLM Context & RAG
Build smarter LLM apps with the Geekflare Search API. Search the web, news, or images and extract page content for real-time AI context.
search apifor llmbestcontextrag
https://www.rackspace.com/en-in/blog/enterprise-considerations-llm-chatbots
Enterprise Considerations For LLM-Powered Chatbots| Rackspace Technology
Oct 8, 2023 - Discover the key considerations for integrating LLM-powered chatbots in your business. This blog guides you through data governance, compliance and strategies...
for llmenterpriseconsiderationspoweredchatbots
https://www.datacamp.com/pl/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://www.datacamp.com/ro/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://openreview.net/forum?id=5Nn2BLV7SB
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization | OpenReview
Instruction tuning large language models (LLMs) remains a challenging task, owing to the complexity of hyperparameter selection and the difficulty involved in...
for llminstruction tuningautomaticevaluationbenchmark
https://www.datacamp.com/zh/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://www.datacamp.com/de/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://roost.ai/
AI Testing Copilot for LLM, API & UI | Test Case Generation | Roost.ai
RoostGPT by Roost.ai uses generative AI and LLMs like GPT-4, Gemini, Claude, Llama3 to generate test cases, ensuring 100% improved test coverage.
test case generationai testingfor llmcopilot
https://arxiv.org/abs/2604.17612
[2604.17612] Provable Coordination for LLM Agents via Message Sequence Charts
Abstract page for arXiv paper 2604.17612: Provable Coordination for LLM Agents via Message Sequence Charts
for llmvia messageprovablecoordination
https://blog.ipleaders.in/top-40-universities-for-llm-in-us/
Top 40 universities for LLM in US - iPleaders
Dec 17, 2021 - This article has a compiled list of top 40 US universities to pursue LLM from.
for llmin ustopuniversitiesipleaders
https://www.rackspace.com/es-pe/blog/enterprise-considerations-llm-chatbots
Enterprise Considerations For LLM-Powered Chatbots| Rackspace Technology
Oct 8, 2023 - Discover the key considerations for integrating LLM-powered chatbots in your business. This blog guides you through data governance, compliance and strategies...
for llmenterpriseconsiderationspoweredchatbots
https://openreview.net/forum?id=M4snsip3i6&referrer=%5Bthe%20profile%20of%20Boris%20van%20Breugel%5D(%2Fprofile%3Fid%3D~Boris_van_Breugel2)
FPTQuant: Function-Preserving Transforms for LLM Quantization | OpenReview
Large language models (LLMs) are compute- and energy-intensive at inference time. While quantization improves efficiency, naive approaches often degrade...
for llmfunctionpreservingtransformsquantization
https://hackstery.com/
hackstery - AI security - penetration tests for LLM systems
Your LLM/GenAI pentesting services provider. Stay updated on AI and LLM security, vulnerabilities, and attacks from our blog and AI Security Newsletter.
ai securitypenetration testsfor llmhacksterysystems
https://openreview.net/forum?id=pV1xV2RK6I
ToolQA: A Dataset for LLM Question Answering with External Tools | OpenReview
Large Language Models (LLMs) have demonstrated impressive performance in various NLP tasks, but they still suffer from challenges such as hallucination and...
for llmquestion answeringexternal toolsdataset
https://matrices.app/
Matrices - Training Environments for LLM Agents
Training environments for multimodal LLM-based agents on realistic computer use tasks.
training environmentsfor llmmatricesagents
https://uwaterloo.ca/data-systems-group/references/nearest-neighbor-speculative-decoding-llm-generation-and
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution | Data Systems Group |...
speculative decodingfor llm
https://lmql.ai/
LMQL is a programming language for LLM interaction. | LMQL
Language Model Query Language
is aprogramming languagefor llmlmqlinteraction
https://www.analyticsvidhya.com/courses/building-llm-applications-using-prompt-engineering-free/?ref=global_footer
Prompt Engineering for LLM | Learn to Build Smarter AI Apps
learn to buildprompt engineeringfor llmsmarterai
https://www.ycombinator.com/companies/baserun
Baserun: Observability and evaluation platform for LLM apps. | Y Combinator
Observability and evaluation platform for LLM apps. Founded in 2023 by Effy Zhang, Baserun has 2 employees based in San Francisco, CA, USA.
evaluation platformobservabilityllmappscombinator
https://a16z.com/emerging-architectures-for-llm-applications/
Emerging Architectures for LLM Applications | Andreessen Horowitz
Jan 22, 2026 - A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.
emerging architecturesfor llmapplicationsandreessenhorowitz
https://wandb.ai/byyoung3/ml-news/reports/A-New-Method-For-LLM-Regularization--Vmlldzo1ODIyMzIw
A New Method For LLM Regularization
a newfor llmmethodregularization
https://www.datacamp.com/ja/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://seedwork.ai/
Seedwork - A Methodology for LLM-Native Applications
Seedwork replaces the construction metaphor with cultivation. A methodology for building software where AI behavior is the product.
for llmseedworkmethodologynativeapplications
https://huggingface.co/papers/2509.21240
Paper page - Tree Search for LLM Agent Reinforcement Learning
Join the discussion on this paper page
paper pagesearch forllm agenttreereinforcement
https://snyk.io/fr/blog/snyk-code-secures-ai-builds/
Snyk Code now secures AI builds with support for LLM sources | Snyk
Jun 25, 2024 - Snyk Code can now protect the use of supported LLM libraries in source code to detect any security issues and promptly alert users. Book a live demo.
snyk codeai buildswith supportfor llmsecures
https://www.moatbuilder.ai/
MoatBuilder.AI | GEO Storytelling Engine for AI + LLM Discovery
MoatBuilder.AI is a Generative Engine Optimization provider and GEO storytelling engine for SMBs and startups that need to reach buyers through AI answers....
ai geoengine forstorytellingllmdiscovery
https://openreview.net/forum?id=BrUxhfVepA
Inverse Reinforcement Learning from Demonstrations for LLM Alignment | OpenReview
Aligning Large Language Models (LLMs) is crucial for enhancing their safety and utility. However, existing methods, primarily based on preference datasets,...
reinforcement learninginversedemonstrationsllmalignment
https://www.langchain.com/blog/agent-protocol-interoperability-for-llm-agents
Agent Protocol: Interoperability for LLM agents
agent protocolfor llminteroperabilityagents
https://openreview.net/forum?id=9WHJuzjPJf
CodeTransEngine: Ready-to-use Backend for LLM-based Code Translation | OpenReview
Code translation, the process of converting a program from one programming language to another, plays a significant role in modernizing legacy systems,...
ready to usefor llmcode translationbackend
https://openreview.net/forum?id=2KKqp7MWJM
AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents | OpenReview
Despite the rapid advancement of LLM-based agents, the reliable evaluation of their safety and security remains a significant challenge. Existing rule-based or...
safety and securityfor llmhumanlevel
https://www.kaggle.com/datasets/datafan07/rlhf-data-for-llm-science-exam
RLHF data for LLM Science Exam | Kaggle
Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced...
for llmscience examrlhfdatakaggle
https://openreview.net/forum?id=yQT406rH72
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment | OpenReview
Large Language Models (LLMs) can acquire extensive world knowledge through pre-training on large corpora. However, due to exposure to low-quality data, LLMs...
proximal policy optimizationfor llmpairwise
https://snyk.io/blog/snyk-code-secures-ai-builds/
Snyk Code now secures AI builds with support for LLM sources | Snyk
Jun 25, 2024 - Snyk Code can now protect the use of supported LLM libraries in source code to detect any security issues and promptly alert users. Book a live demo.
snyk codeai buildswith supportfor llmsecures
https://openreview.net/forum?id=Pd3jVGTacT&referrer=%5Bthe%20profile%20of%20Jiancheng%20Liu%5D(%2Fprofile%3Fid%3D~Jiancheng_Liu2)
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning | OpenReview
In this work, we address the problem of large language model (LLM) unlearning, aiming to remove unwanted data influences and associated model capabilities...
for llmsimplicityrethinkingnegativepreference
https://www.datacamp.com/vi/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://mymcpspace.com/
MyMCPSpace · the premier social network for LLM agents
Browse the read-only archive of MyMCPSpace — posts and replies from LLM agents (2025). Archived May 2026.
the premiersocial networkfor llmagents
https://aclanthology.org/2024.eacl-srw.26/
Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels - ACL Anthology
Kanishka Silva, Ingo Frommholz, Burcu Can, Fred Blain, Raheem Sarwar, Laura Ugolini. Proceedings of the 18th Conference of the European Chapter of the...
authorship attributionfor llmforgedganbert
https://matrices.ai/
Matrices - Training Environments for LLM Agents
Training environments for multimodal LLM-based agents on realistic computer use tasks.
training environmentsfor llmmatricesagents
https://www.coursera.org/projects/langchain-for-llm-application-development-project
LangChain for LLM Application Development (Short Course) | Coursera
Learn LangChain for LLM Application Development in this 2-hour, Guided Project. Practice with real-world tasks and build skills you can apply right away.
for llmapplication developmentshort courselangchaincoursera
https://www.datacamp.com/hi/tutorial/firecrawl
Firecrawl: AI Web Crawler Built for LLM Applications | DataCamp
Firecrawl is an AI web crawler that converts websites into clean, LLM-ready markdown. Learn its features, use cases, and Python integration examples.
ai webbuilt forllm applicationsfirecrawlcrawler
https://arxiv.org/abs/2509.15207v1
[2509.15207v1] FlowRL: Matching Reward Distributions for LLM Reasoning
Abstract page for arXiv paper 2509.15207v1: FlowRL: Matching Reward Distributions for LLM Reasoning
for llmmatchingrewarddistributionsreasoning
https://www.redhat.com/pt-br/blog/top-10-security-architecture-patterns-llm-applications
Top 10 security architecture patterns for LLM applications
The software industry has started developing a vast array of artificial intelligence (AI) applications based on large language models (LLMs).
security architecturefor llmtoppatternsapplications
https://www.coursera.org/learn/langchain-course-for-llm-application-development?authMode=signup
LangChain Course for LLM Application Development | Coursera
Offered by Simplilearn. This LangChain for Advanced Generative AI Workflows course equips you with the skills to build scalable, ... Enroll for free.
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Copy for LLM - Chrome Web Store
A Chrome extension to copy clean HTML text for LLMs
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https://aihorizons.io/
AI Horizons | Live AI Seminars & LLM Training for Researchers
May 6, 2026 - AI Horizons offers live AI seminars and LLM training for researchers. Learn practical workflows, prompting, and reliability checks.
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