Merci pour la mention ! Et pas mal d'avoir utilisé alpaca j'y ai pas pensé ! C'est du paper trading ou du vrai ?
LLMS
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MiniMax Releases M2.1 Model Featuring Advanced Coding and Agentic Capabilities
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BREAKING : MiniMax M2.1 by @minimax_ai is now available on MiniMax Agent. What's new? – Multilingual Coding: Expert performance in multi-language development, excelling in test case generation, code optimisation, and code review.
– Agentic Tool Use: Reliably executes -
GLM-4.7 Model Benchmark Performance and Competitive Analysis
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BREAKING : GLM-4.7 by @Zai_org scored 42% on the HLE benchmark, representing a 38% improvement over GLM-4.6 and approaching GPT-5.1 performance. New SOTA open source on SWE?
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Limitations of basic embedding and keyword search in AI systems
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yes mais là c'est plus que de l'embedding ou du keyword qu'il faut ^^
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Technical limitations of LLMs in specific NLP tasks
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Grave et c’est surtout un des rares sujets de NLP impossible à adresser actuellement par des LLM.
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Research Challenges Scaling Myths for AI Agent Tool Calling
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This paper quietly destroys one of the most repeated myths in AI: that bigger models are always better for agents. The researchers took a 350M-parameter model and fine-tune it specifically for agentic tool calling. Not chatting. Not creativity. Just one job: pick the right tool,
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xAI List Report: Grok Seeks Feedback on Value
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From Grok. I gave it a lengthy post teaching it about my lists and asked it to find the latest news. Does this provide any value to you? If it does I will run it a couple times a day. +++++ Top-Level xAI List Report: Key Insights from December 22, 2025 Overview: Across the
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LLaDA2.0: Converting Auto-Regressive Models to Discrete Diffusion
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LLaDA2.0, a new method that converts existing auto-regressive models into discrete diffusion models using a novel 3-phase training scheme. This approach preserves the model's learned knowledge while unlocking parallel decoding. The resulting models, LLaDA2.0-mini (16B) and
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Share AI insights and LLM tutorials with your network
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If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
