the reason llm analysis (and regulation, and PMing) is hard* is that the relevant DIMENSIONS keep moving with each generation of frontier model; it is not enough to just put your x or y axis in log scale and track scaling laws, you have to actually do the work to think about how
LLMS
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Stabilizing Knowledge and Promoting Reasoning with Dual-Token Constraints
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Stabilizing Knowledge, Promoting Reasoning Dual-Token Constraints for RLVR
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Qwen3-235B-A22B-2507 Now Available in Anycoder
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Qwen3-235B-A22B-2507 is now available in anycoder pic.twitter.com/i8JSgqBeCF
— AK (@_akhaliq) 22 juillet 2025Qwen3-235B-A22B-2507 is now available in anycoder
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Building Production LLMs: Prompting, Fine-Tuning, and RAG
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Building #LLMs for Production — Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG: http://
amzn.to/44ExbRx #AI #GenAI #GenerativeAI #RAG -
Building Neo4j-Powered Applications with LLMs and AI Frameworks
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New book from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
amzn.to/4l9lLKO -
LLM Design Patterns: Building Robust and Efficient AI Systems
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New book from @PacktDataML >> LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems See it at http://
amzn.to/4nODl9a -
Building AI Agents with LLMs, RAG, and Knowledge Graphs
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New book from @PacktDataML >> Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents See it at http://
amzn.to/4622k2h -
Gemini Team Achievements in Advanced Reasoning and Mathematics
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Congrats to the whole Gemini team, and especially to those focused on our advanced reasoning and mathematics capabilities! More details in the blog post:
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Gemini Deep Think Achieves Gold Medal Performance at IMO Competition
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We're all excited to see our advanced Gemini Deep Think model achieve a gold-medal level performance in the recent IMO, solving 5 of the 6 problems perfectly (35 of 42 points)! Unlike our entry last year, which first converted the problems to a formal proof language (Lean),