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I'm starting a new mission using Langchain framework and as this is a relatively new library I going to do some posts about it. Langchain is a library designed to make it easier to integrate language models into applications. It helps to combine language models with chain-of-thought reasoning, paving the way for more sophisticated AI applications

Year of the RAG !!! RAG is an AI framework for retrieving facts from an external knowledge base to ground large language models (LLMs) on the most accurate, up-to-date information and to give users insight into LLMs’ generative process.

We have all heard about different LLMs talking with each other. Wouldn't it be more beneficial if they worked together for you? Super Amplify is introducing the Google Gemini Pro model for Pro users! You can use the model safely, securely and privately with Open AI GPT4 and get to solve faster! Check out this video! You are going to want to do all your generative AI this way. Get ready to take the power of your data and the power of the best language models and apply them together.

📢📢📢 New Blog Post: Understanding the pricing for Vertex AI Text Bison Foundation Model. Yesterday at Next '23, we announced the 32K version of the Text Bison Model. While its possible to fit in a document of several pages directly into the prompt and query it, one needs to take a step back and first understand the pricing basics. This blog post covers the following questions: ➡️ Are you charged by Tokens or Characters? ➡️ Which languages end up with more tokens / characters for the same sentence (languages that are dense)? ➡️ Understand what it costs for a sample prompt and response from the Text Bison model. Take a look: https://lnkd.in/dMJhupTK #GoogleCloud #VertexAI #Pricing #PaLM #FoundationalModel

Game changer. You can now run GPT locally on your macbook with GPT4All, a new 7B LLM based on LLaMa. It's completely open source: demo, data and code to train an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa https://lnkd.in/gUGRTCdA ↓ Are you technical? Check out https://AlphaSignal.ai to get a weekly summary of the latest research and breakthroughs in AI. Read by 100,000+ engineers and researchers. 


I had such a great time chatting with Koushik Kothagal about my journey in AI and the exciting future of LLMs and Generative AI! 🌟 We dove into: 🎓 Learning paths in AI 📚 Structuring LLM educational content to meet the growing demand 🔍 Prompt engineering and advanced fine-tuning techniques 🌐 The future of open-source AI Our conversation is packed with insights and practical advice, I hope you can check it out! 👇

AI Agents are taking over in 2024! (But we already talked about them over 6 months ago). After reading the attached article, you will: ☑️ understand the difference between the standard Large Language Models and AI Agents, ☑️ learn how AI Agents “reason & act” with the ReAct type of prompting, ☑️ know how to implement a basic AI Agent with LangChain for OpenAI language models. Happy reading! #aiagents #langchain #openai #gpt4 https://lnkd.in/edjQN_HH

This is a great series of short, simple explanations of Generative AI concepts by Mike Chambers. What other Generative AI concepts should we ask Mike to explain? https://lnkd.in/gJTyzSyc #generativeai #awsdeveloper #coolstuff

My 3 favourite resources to learn how LLMs work: 1. Intro to Large Language Models by Andrej Karpathy https://lnkd.in/gnxczrVA 2. LLMs for Dummies by Rex Woodbury - https://lnkd.in/gSAmMTXg 3. Generative AI exists because of the transformer by FT - https://lnkd.in/g53ksEkt

Beginner’s Guide to GenAI: LLMs, RAG, and more We are moving beyond the exploratory phase and into building real-world applications with LLMs. There are several components and tools that stand out when developing with LLMs and generative AI in general. Check out this upcoming webinar on how Large Language Models (LLMs) are shaping the future and the tools/techniques to get familiar with. It will also provide a hands-on guide on Retrieval-Augmented Generation (RAG) and its applications. Join here: https://lnkd.in/eGTASNtn