Multi-head attention in LLMs, visually explained: pic.twitter.com/kN5epKVTJx
— Akshay 🚀 (@akshay_pachaar) 7 novembre 2025
Multi-head attention in LLMs, visually explained:
@akshay_pachaar
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Multi-head Attention in Large Language Models Visual Explanation
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ReAct Framework in CrewAI: LLM Problem-Solving with Tools
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ReAct is really popular. Here's an example from CrewAI, which uses ReAct to let LLM think through problems and use tools to act on the world.
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Comprehensive Free Guide to LLM Fine-tuning Techniques and Methods
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if you're looking for a comprehensive guide to LLM finetuning, check this! a free 115-page book on arxiv, covering: > fundamentals of LLM
> peft (lora, qlora, dora, hft)
> alignment methods (ppo, dpo, grpo)
> mixture of experts (MoE)
> 7-stage fine-tuning pipeline
> multimodal -
Share Insights on LLMs AI Agents and Machine Learning
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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!
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AI Engineering Hub with 90+ Hands-On Projects Available
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Find all these projects in our AI Engineering Hub, along with 90+ hands-on projects: https://
github.com/patchy631/ai-e
ngineering-hub
… (don't forget to star ) -
9 MCP, Agents, and RAG Projects for AI Engineers
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9 MCP, Agents, and RAG projects for AI engineers:
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Karpathy’s AGI Timeline: At Least a Decade Away
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How far do you think that would be ? Karpathy in his recent interview said AGI is at least a decade away.
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Memory’s Role in AGI Development Race
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Memory is bigger than agents, whoever solves this wins the race to AGI
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Share Insights on LLMs AI Agents and Machine Learning
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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!