Primr’s Post

Hey there! 🌟 Ever wondered about the ongoing relevance of classical machine learning and statistics in the age of flashy new technologies like Large Language Models (LLMs)? Well, here's a friendly reminder: simplicity never goes out of style! Basic arithmetic rules, like understanding that (2*4)=(2+2+2+2), hold the key to navigating even the most complex of frameworks. Now, let's talk about a common pitfall: the tendency to overlook classical approaches in favor of the latest and greatest. But wait, there's a better way! Instead of casting aside traditional methods, let's harness their power to complement and enhance the effectiveness of modern technologies like LLMs. And guess what? I've got a modern example to illustrate this point: creating a custom retriever in LangChain. Now that we have control over the documentation retriever and can feed it into the LLM model, we can leverage our custom classical statistical/machine learning solution to filter out relevant documents based on the user query that solution standout from the market. 🎯 🎯 🎯 🎯 🎯 🎯 🎯 🎯 🎯 🎯 #statistics #machinelearning #llm #openai #langchain #llamaindex #llama2 #generativeai #transformers #huggingface #indianainvesting

I learned something cool about RAG recently. If you don’t know what RAG is, it’s been a buzzword in AI for the past six months. RAG stands for Retrieval Augmentation Generation (don’t look at me, I don’t name these things) and it’s a technique for using LLMs (like GPT-4) to answer questions about documents. When people talk about RAG, I just think about chatting with a PDF. Because that’s mostly what these RAG apps are doing. The typical RAG pipeline converts a PDF into a format an LLM can understand. But that’s not really how humans process information. PDFs are messy. There are tables, graphs, images, appendices. Because I work at Beam, I get exposed to a lot of new LLM design patterns early, and last week I found one that really stood out called ColPali. ColPali is a new embedding model trained on documents, so it can interpret PDFs like a human would. It can read tables and graphs. And the code is way simpler – you can show it a PDF without preprocessing and immediately start asking questions about it. If anyone else has been using ColPali in production, I’d be really curious to hear your thoughts on it. 

Exciting insights from a year of building with LLMs! Discover practical tips, common pitfalls, and proven strategies for success in leveraging large language models in real-world applications. A must-read for AI enthusiasts and developers! What We Learned from a Year of Building with LLMs (Part I)

Learn how to build professional-level applications using Large Language Models (LLMs). In this video, we'll guide you through advanced techniques for integrating, fine-tuning, and deploying LLMs for real-world use cases. Perfect for developers, data scientists, and AI enthusiasts ready to master Generative AI and elevate their skills. Check out this course on Euron: Master Generative AI : Professional level LLM application development: https://lnkd.in/dpgM-BPs Check out this Plan on Euron: Personal Plan :https://lnkd.in/dMzV_f2H

Learn how to build professional-level applications using Large Language Models (LLMs). In this we'll guide you through advanced techniques for integrating, fine-tuning, and deploying LLMs for real-world use cases. Perfect for developers, data scientists, and AI enthusiasts ready to master Generative AI and elevate their skills. Course Link :https://lnkd.in/d3PtsQ7k Get Everything With Euron Plus - Check out this Plan on Euron: Personal Plan https://lnkd.in/eWgE73p5 Euron sudhanshu kumar

Reading is probably the most valuable and treasured skill in my toolbox, but finding the best things to read when there's so much going on, is a massive challenge. I've been overwhelmed by the rate of progress in AI and have been struggling to keep up with all the advancements that seem to drop on a daily basis. This newsletter has gone a long way to keep abreast of some of the highlights. It's also helped me to identify at least two potential ideas to build on stagnating concepts that I've been working on. Hope some of you find value in it too to harness the power of learning through reading. https://alphasignal.ai/

🎉 🎉 🎉 LLMs are fantastic tools. 🎉 🎉 🎉 I need to find a syntax for a particular problem so I asked Bing Copilot to give me examples in different languages. One example was quite good, I asked if I could also add X. Yes, sure, here is what it would look like. Fantastic up to the point when I wanted to try my favoured language only to find out that the extra X I needed does not exist! The model just invented new elements of the language. Basically, one hour of research cast into doubt and therefore wasted. Thank you modern AI productivity tools!

Learn how to build professional-level applications using Large Language Models (LLMs). In this we'll guide you through advanced techniques for integrating, fine-tuning, and deploying LLMs for real-world use cases. Perfect for developers, data scientists, and AI enthusiasts ready to master Generative AI and elevate their skills. Course Link :https://lnkd.in/g7swuPYk Get Everything With Euron Plus - Course Link :https://lnkd.in/gwh3krBf

Learn how to build professional-level applications using Large Language Models (LLMs). In this we'll guide you through advanced techniques for integrating, fine-tuning, and deploying LLMs for real-world use cases. Perfect for developers, data scientists, and AI enthusiasts ready to master Generative AI and elevate their skills. Course Link : https://lnkd.in/gmcj8xqi Get Everything With Euron Plus - https://lnkd.in/gRRj_3x9

Learn how to build professional-level applications using Large Language Models (LLMs). In this we'll guide you through advanced techniques for integrating, fine-tuning, and deploying LLMs for real-world use cases. Perfect for developers, data scientists, and AI enthusiasts ready to master Generative AI and elevate their skills. Course Link : https://lnkd.in/gJsbBkp7 Get Everything With Euron Plus - https://lnkd.in/gBf3TFve