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LLM + Memory + Planning + Tools = Agents 🤖 Last month, Job and I discussed how generative AI is shifting how companies offer customer support. How can we add more layers to our RAG apps to make it more agentic? LLM: Large language model alone Memory: Short-term and long-term… https://t.co/hpUOAmFz9d
🔥 Analog ➡️ Digital ➡️ Cognitive Language is the optimized functional interface between technology and humanity. LLMs are “unlocking thought” with a unique iterative dynamic that ignites our genius within! https://t.co/pTl4sMDz5G #AI #AGI #LLMs https://t.co/Vbtz0V7tzQ
🤖 AI Agent Approach As of now when we chat with LLM we are doing zero shot prompting i.e asking question once and expecting answers . To move forward and extrract more from LLM we need AI Agents. 1) Prompt survey paper 🔗 https://t.co/ciDpQ2xi67 2) DeepLearning Andrew Ng :… https://t.co/wZ1gQiUqLc
Large Language Models (LLMs) are being enhanced to mimic human brain activity in processing language, moving beyond word prediction to a more human-like approach. The integration of AI Agents is seen as crucial to extracting more capabilities from LLMs, with a focus on optimizing the interface between technology and humanity.
