Kensho Technologies’ Post

🗞️ DevTips Weekly - Issue #2 Programmable CI/CD, Text Classification with Spring AI, 7 Programmers Habits, and Distributed Transaction Management #DevTips #Newsletter

This is another framework I have used a lot #llm #ai.

𝐃𝐞𝐦𝐲𝐬𝐭𝐢𝐟𝐲𝐢𝐧𝐠 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬: 𝐀 𝐂𝐥𝐨𝐬𝐞𝐫 𝐋𝐨𝐨𝐤 𝐚𝐭 𝐆𝐨𝐨𝐠𝐥𝐞'𝐬 𝐆𝐞𝐦𝐦𝐚! Ever wondered how transformers in language models work but found the technical details daunting? Well, you're not alone, and today's highlight is a brilliant breakdown that makes these complex systems accessible to everyone. In a recent blog post, an expert delved deep into the workings of Google’s Gemma, a state-of-the-art transformer-based large language model (LLM). What’s exciting is that the post is crafted with both casual ML enthusiasts and seasoned programmers in mind. 𝘛𝘩𝘦 𝘊𝘰𝘳𝘦 𝘊𝘰𝘯𝘤𝘦𝘱𝘵: The post explores the concept of single-step prediction—taking a prompt like “I want to move” and predicting what words might logically follow. This fundamental mechanism powers everything from sophisticated chatbots to advanced coding assistants. 𝘓𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘛𝘩𝘳𝘰𝘶𝘨𝘩 𝘌𝘹𝘢𝘮𝘱𝘭𝘦: Using Gemma 2B, the author doesn't just tell, they show! Accompanied by a straightforward PyTorch implementation available through notebooks on GitHub and Colab, readers can see the unembellished code that brings the theoretical into the practical. 𝘛𝘸𝘰 𝘞𝘢𝘺𝘴 𝘵𝘰 𝘌𝘯𝘨𝘢𝘨𝘦: Implementation Focus - The main text walks readers through the necessary steps to get Gemma up and running. Expandable Insights - For those curious about the "why" behind the code, expandable sections delve into the machine learning intuitions underpinning each step. Whether you’re a developer looking to understand LLMs better or simply an AI enthusiast curious about how language prediction works, this post is a gold mine of information. Check out below full article for a comprehensive yet understandable guide to one of the most fascinating areas in machine learning today! #AI #MachineLearning #LanguageModels #PyTorch #GoogleGemma #TechnologyExplained #Coding #Innovation #TechCommunity Source: https://lnkd.in/dU246cR6

Tools Every AI Engineer Should Know: A Practical Guide https://lnkd.in/g3cwrjSc

Sharing a recent project of mine: An AI-Summarization tool in SAPs Kubernetes Landscape Kyma. I know there are already hundreds of those services out there, that's why it's less about the summarization process, but more about the my approach to asynchronous processing using kubernetes features, which is quite interesting. Here's a Blog where I described everything in more detail: #SAPBTP #GenAI #AI #SAPKyma #Kubernetes

Exploring Autogen: A Powerful Tool for Building Custom AI Agents #ai #artificialintelligence #microsoftlearn #technology #upskill #autogen

Stability AI Introduces Stable Code: A General Purpose Base Code Language Model

Crafting manual prompts can be tiresome and ineffective, as every LLM has its own prompting template. Introducing DSPy - a framework developed by researchers at Stanford NLP, which enables us to move away from manual prompt engineering and embrace a programming model for designing pipelines with Large Language Models (LLMs). By leveraging DSPy's modular approach and integrating it with Qdrant, a vector similarity search engine and vector database, we can create advanced RAG pipelines that enhance the generation capabilities of LLMs. I'm excited to share my latest blog post on building Retrieval-Augmented Generation (RAG) pipelines using the powerful combination of DSPy, Gemma-2b, and Qdrant. 🚀 #ai

Tools Every AI Engineer Should Know: A Practical Guide https://flip.it/7mxIZy

It's very easy to build your own chatbot using advanced language models like LLaMA 2! 🤖✨ With the right tools and techniques, you can fine-tune this powerful model to meet your specific needs. In this article, I guide you through the step-by-step process of customizing LLaMA 2 for various applications, from customer support to creative writing. You'll learn how to efficiently configure the model, optimize its performance, and even visualize training metrics. If you're interested in AI and want to harness the potential of generative models, this is a great opportunity to dive in! Check out the article and start building your own chatbot today! 🚀📚  https://lnkd.in/eF7CGivC And don’t forget to subscribe to our newsletter (https://lnkd.in/eqB9x35J) for more insights and updates on AI and technology trends! Stay informed and inspired! 🌟 #AI #Chatbots #MachineLearning #LLaMA2