AetherCode Evaluating LLMs' Ability to Win In Premier Programming Competitions
LLMS
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Self-Play and Variational Problem Synthesis Enhance RLVR Performance
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Beyond Pass@1 Self-Play with Variational Problem Synthesis Sustains RLVR
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Gemini Pro’s Text Reference Capability Praised
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Gemini Pro doesn't get enough credit for being able to upload 1500+ pages of text to reference (several textbooks in PDF form) and cites every response with a link to the text. By far the most useful LLM for specific learning.
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Claude Code’s unique prompt handling feature explained
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One cool thing that Claude Code has is the ability to type guidance as the model goes, and when you hit enter it's put in a wait stage and submitted to the prompt after the next tool call.
I didn't see this in Codex. -
OpenAI and UK Government Discuss Nationwide ChatGPT Plus Deal
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OpenAI et le gouvernement britannique ont évoqué un « deal » massif : rendre ChatGPT Plus accessible à toute la population du Royaume-Uni, pour un montant hypothétique pouvant atteindre 2 milliards de livres sterling. Cette proposition a émergé lors d’une réunion entre Sam Altman
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100+ Free Open Source AI Agents and RAG Tutorials
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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Azure OpenAI Essentials: Practical Guide to Generative AI Innovation
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Azure OpenAI Essentials — A practical guide to unlocking Generative #AI-powered innovation with Azure OpenAI: http://
amzn.to/3EWMFWk via @PacktDataML ——
#GenAI #MachineLearning #DataScience
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Explore the capabilities of Azure OpenAI’s LLMs Craft -
Unlocking Data with Generative AI and RAG Integration
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative #AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML —————
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist -
Madam Algorithm Preserves Precision in UE8M0 Training Format
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There is a wrong notion that precision is sacrificed in UE8M0. That is not the case. You can retain the original accuracy even when you directly train in that format when you use our Madam algorithm https://
x.com/AnimaAnandkuma
r/status/1958573570688524596
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AI Model Struggles With Analog Clock Reading Task
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It did horse riding on astronaut first try, but didn't pull off an analog clock reading 3pm, which remains the great undefeated test (it is possible that better prompting could help)