#freelancerย โขย 4m
LLMs as Agents Large Language Models (LLMs) like *GPT*, *Claude*, or *Gemini* can act as intelligent. *What does it mean to be an agent?* An *LLM agent* can: โข Understand a goal โข Break it into steps โข Use tools or APIs โข Adapt based on context or user input โข Decide what to do next (autonomously or semi-autonomously) *How LLMs work as agents:* LLMs generate outputs based on *prompts*, but when paired with logic (via tools/frameworks), they can: โข Access the internet โข Search databases โข Execute code โข Retrieve documents โข Call external tools/APIs โข Maintain memory of a conversation *Example:* > You say: *โBook me the cheapest flight to Delhi next week.โ* An LLM agent might: 1. Extract the intent (flight, Delhi, next week) 2. Use a flight API to check prices 3. Return the best result 4. Ask you to confirm before booking LLMs as agents = combining *language understanding* with *real-world actions*.


Hey I am on Medialย โขย 9m
make ai agents without writing single line of code Microsoft AutoGen: Advancing AI Agent Collaboration Microsoft's AutoGen is an open-source framework designed to simplify the creation of multi-agent systems using large language models (LLMs). It a
See MoreFounder | Agentic AI...ย โขย 1d
Your AI sucks because itโs stuck at Level 1. You can easily take it to Level 3. I've explained below. ๐ฆ๐๐ฒ๐ฝ 1 โ ๐๐ฎ๐๐ถ๐ฐ ๐๐๐ (๐๐ผ๐ฐ๐๐บ๐ฒ๐ป๐ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ถ๐ป๐ด) โข This is the simplest level of AI systems. โข You give input text or a docu
See More
Building AI-agentsย โขย 3m
Iโm starting to build a series of AI agents designed to solve real-world problems. Imagine saying: โ โFind me the cheapest round-trip flight from Delhi to Bangalore next weekend, book it, and email me the ticket.โ ๐ โSummarize todayโs top tech h
See Moreย โขย
OpenAIย โขย 8m
๐ง AI Agents: Explained for Non-Tech Builders A timeline breakdown of what they are, how they work, and why they matter (with real examples). (00:00โ01:22) | LLMs: Smart but Passive Tools like ChatGPT and Claude are built on LLMs. Theyโre great at
See MoreMake an impact that ...ย โขย 4m
๐๐ฎ๐ป๐ด๐๐ต๐ฎ๐ถ๐ป: ๐ง๐ต๐ฒ ๐๐ฎ๐๐๐ฒ๐๐-๐๐ฟ๐ผ๐๐ถ๐ป๐ด ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ ๐ณ๐ผ๐ฟ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐๐ ๐๐ด๐ฒ๐ป๐๐ LangChain is quickly emerging as the go to framework for developing AI agents and intelligent LLM-powered applications. In a short
See MoreHey I am on Medialย โขย 1y
Microsoft has launched a new piece of open source infrastructure which allows users to direct multiple AI agents to work together to complete user tasks. Magentic-One (a play on Microsoft and Agentic) employs a multi-agent architecture where a lead
See More
Founder | Agentic AI...ย โขย 6d
Everyone wants to build AI agents these days. But very few actually understand what sits beneath the surface. Hereโs the part most people ignore: AI agents are mostly software engineering - about 95%. The โAIโ part is just the remaining 5%. All the
See Moreextraordinary is jus...ย โขย 7m
Every day you skip reading this book = a missed opportunity. AI Engineering by @chipro is gold: โข Build with LLMs โข RAG & agents โข Dataset engineering โข Evaluation metrics that matter This isnโt just theory. Itโs how to build. #AI #LLM #RAG #Tec
See MoreMapping AI to Use-ca...ย โขย 1y
Are there any data scientists here? What new ways are you using large language models (LLMs) in your everyday tasks? Do you think we should include LLM topics in data science courses? If so, what should we focus on teaching? For example: - The bas
See MoreDownload the medial app to read full posts, comements and news.