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Tata Consultancy Servicesย โขย 1y
For that kind of use case, you'll definitely want to look into Langchain's utilities for web data retrieval and combining that with an LLM like OpenAI's models. The WebPageLoader tool could be really handy.
Hey I am on Medialย โขย 8m
Retrieval-Augmented Generation (RAG) is a GenAI framework that enhances large language models (LLMs) by incorporating information from external knowledge bases, improving accuracy, relevance, and reliability of generated responses. Here's a more det
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Why do it when AI ca...ย โขย 6m
Hey there, friends! We're excited to announce the launch of our new open-source library: OmniMind MCP Tools! ๐ This handy tool lets you connect any LLM to MCP tools for custom agents, all while working smoothly with LangChain. Plus, it includes fe
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| Technologist | ML ...ย โขย 9m
In the ever-evolving AI landscape, a new player is making waves โ Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from
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Hey I am on Medialย โขย 1y
Huge announcement from Meta. Welcome Llama 3.1๐ฅ This is all you need to know about it: The new models: - The Meta Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models
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Building an AI eco-s...ย โขย 11m
๐ค ๐๐ฉ๐๐ง๐๐ ๐จ๐ - ๐ข๐ฌ ๐ข๐ญ ๐ฆ๐จ๐ซ๐ ๐๐ข๐ ๐ ๐๐ซ ๐จ๐ซ ๐ฆ๐จ๐ซ๐ ๐๐ข๐ง๐-๐ญ๐ฎ๐ง๐๐? We're all excited about OpenAI's o1 model and many other such bigger models, but here's what keeps me up at night: Are we witnessing a genuinely larger, more a
See Morefullstack dev specia...ย โขย 1m
๐ How to Save 90% on Your AI Costs Hereโs exactly how we cut AI costs from $500/month to $5/month: 1. Avoid LLMs When Possible Use rules, regex, or database lookups for simple tasks (60โ80% of workflows). Example: A lead qualification bot using rege
See MoreFounder | Agentic AI...ย โขย 2d
The AI stack you should master in 2025. Iโve broken down every tool in one simple line. 1. ๐ ๐ฒ๐๐ฎ๐๐ฃ๐ง โ Agents collaborate using structured software-team roles. 2. ๐๐ฟ๐ฒ๐๐๐ โ Coordinates multiple specialized agents to complete tasks. 3. ๐๏ฟฝ
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