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P.M.SALMAN KHAN

salmankhanpm
21world's profile picture
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https://salmankhanpm.co

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reacted to hesamation's post with 🔥 1 day ago
OpenAI just released a 34-page practical guide to building agents, Here's 10 things it teaches us: 1➜ agents are different from workflows: they are complete autonomous systems that perform tasks on your behalf. many applications use LLMs for workflows, but this is not an agent. 2➜ use them for tricky stuff: complex decision making, dynamic rules, unstructured data 3➜ core recipe: each agent has three main components: Model (the brain), Tools, Instructions on how to behave 4➜ choose the right brain: set up evals to get a baseline performance, use a smart model to see what's possible, gradually downgrade the model for cost and speed 5➜ tools are key: choose well-defined and tested tools. an agent needs tools to retrieve data and context, and take actions. 6➜ instruction matters A LOT: be super clear telling the agent its goals, steps, and rules. Vague instructions = unpredictable agent. Be explicit. 7➜ start simple, then scale: often a single agent with several tools is ok. don't jump to complex multi-agent systems immediately. 8➜ if you use multi-agents: you can have a "manager" agent directing traffic to specialist agents, or have agents hand off tasks to each other. 9➜ gaurdrails are a MUST: check user input for weird stuff, make sure the agent isn't about to do something risky, filter out private info, block harmful content. Don't let it run wild. 10➜ build and plan for humans: start small, test, improve. always have a plan for when the agent gets stuck or is about to do something high-risk. Download: https://t.co/fJaCkgf7ph
updated a model 6 days ago
salmankhanpm/lora_gemma-3-4b-inference-test-finetune
published a model 6 days ago
salmankhanpm/lora_gemma-3-4b-inference-test-finetune
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