https://news.mit.edu/2025/how-build-ai-scaling-laws-efficient-llm-training-budget-maximization-0916
How to build AI scaling laws for efficient LLM training and budget maximization | MIT News |...
MIT and MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models (LLMs) will perform based on smaller models...
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Sponsored https://flirttendre.com/
FlirtTendre
Dating that finally gets you.
https://thenewstack.io/a-guide-to-token-efficient-data-prep-for-llm-workloads/
A Guide to Token-Efficient Data Prep for LLM Workloads - The New Stack
Dec 6, 2025 - A single inefficiently serialized record might waste hundreds of tokens. Multiply that by millions of queries, and the cost impact becomes substantial.
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https://huggingface.co/papers/2405.19888
Paper page - Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Join the discussion on this paper page
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https://www.bottlecapai.com/
BottleCap AI - Making LLM's radically more efficient
BottleCap AI is dedicated to revolutionizing large language models (LLMs) by enhancing their efficiency and performance. The team, led by experts like Tomas...
making llmbottlecapai
https://insait.ai/insait-releases-the-first-open-and-efficient-multimodal-ukrainian-llm/
INSAIT releases the first open and efficient multimodal Ukrainian LLM | INSAIT
The first version of the model was downloaded more than 10,000 times in few months, while this new version adds many new important capabilities
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https://thenewstack.io/six-frameworks-for-efficient-llm-inferencing/
Six Frameworks for Efficient LLM Inferencing - The New Stack
Dec 18, 2025 - Explore these frameworks in detail, including their design choices, technical innovations and suitability for diverse, real-world deployment scenarios.
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https://www.graphcore.ai/posts/flan-t5-sweet-results-with-the-smaller-more-efficient-llm
Flan-T5: sweet results with the smaller, more efficient LLM
Flan-T5 offers outstanding performance for a range of NLP applications, even compared to very large language models. Try now on Paperspace, powered by IPUs
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https://www.graphcore.ai/posts/fine-tuning-flan-t5-xxl-the-poweful-and-efficient-llm
Fine-tuning Flan-T5 XXL - the powerful and efficient LLM
Flan-T5 XXL is a powerful LLM that offers performance on par with larger models and can be fine-tuned using a Paperspace Gradient Notebook powered by IPUs.
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https://developer.nvidia.com/blog/smart-multi-node-scheduling-for-fast-and-efficient-llm-inference-with-nvidia-runai-and-nvidia-dynamo/
Smart Multi-Node Scheduling for Fast and Efficient LLM Inference with NVIDIA Run:ai and NVIDIA...
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https://www.graphcore.ai/posts/pienso-offers-efficient-llm-access-for-business-powered-by-cloud-ipus
Pienso offers efficient LLM access for business, powered by cloud IPUs
Low-code / no-code solution lets business decision makers get hands-on with AI.
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