Shravan KumarRetrieval Augmented Generation (RAG) — Basics (Part-2)Please look at the part-1 blog here.10h ago10h ago
Shravan KumarRetrieval Augmented Generation (RAG) — Basics Part-1Here we are going to discuss on — What is RAG? How do we use it? What is the high level overview about this RAG.1d ago1d ago
Shravan KumarDifferent Chain Types using LangChainLangChain provides various chain types that allow developers to build and customize workflows for natural language processing tasks. These…2d ago2d ago
Shravan KumarDifferent Prompt Templates using LangChainIn LangChain, a Prompt Template is a structured way to define prompts that are sent to language models. Prompt Templates allow you to…3d ago3d ago
Shravan KumarDifferent ChatModel Applications using LangChainLangChain is a versatile library that provides a framework for building applications using large language models (LLMs). It is designed to…3d ago3d ago
Shravan KumarOverview on AI AgentsThere are 2 major topics we need to know about when it comes to AI Agents — They are Tools and Agents. Let us know first about Tools.Aug 1Aug 1
Shravan KumarMeta Llama 3: The most capable openly available LLM to date and It’s Application💥 𝐁𝐨𝐨𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐈 𝐖𝐨𝐫𝐥𝐝: 𝐋𝐥𝐚𝐦𝐚 𝟑 𝐢𝐬 𝐇𝐞𝐫𝐞! 💥Apr 26Apr 26
Shravan KumarA deep dive into TokenizationWe recall that the language modelling involves computing probabilities over a sequence of tokensMar 20Mar 20
Shravan KumarGemma: Introducing new state-of-the-art open model by GoogleGemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini…Feb 231Feb 231
Shravan KumarBidirectional Encoder Representations from Transformers (BERT)In my previous blogs we studied about entire overview on Generative Pretrained Transformer a blog on Generative Pretrained Transformer…Dec 17, 20231Dec 17, 20231