Aniket Hinganebytecodecorner.hashnode.dev·18 hours agoWhat if… Employers Employ AI Agents to Get 360° Feedback from Employees?Full Article ⚪ What is this Article About?● This article demonstrates how AI agents can be used in the real-world for gathering feedback from employees● It explores using AI agents to collect insights on employee experiences, job satisfaction, and su...Discussllm
Saswat Samalblog.saswatsamal.com·May 12, 2024The Overview of Large Language Models and AgentsLLM Agents are advanced language models that go beyond text generation, making decisions and taking actions independently with tools like SQL Agent and Maths Tool. They excel at task automation and assisting individuals with disabilities, but concern...Discuss·1 like·31 readslarge language models
Sourav Kumarblog.souravk.cloud·May 8, 2024Create Your Own AI ChatBot using Llama3 by metaOn May 3rd, 2024, the world experienced a collective moment of panic as ChatGPT and Gemini, two of the most widely used AI language models, went down for over two hours. This outage served as a stark reminder of how deeply we have become reliant on t...Discuss·1 like·26 readsAI
Farhan Naqvifarhanbytemaster.hashnode.dev·Apr 15, 2024What is Tokenization?Tokenization is the process of breaking down a sequence of text into smaller units, called "tokens". These tokens could be words, subwords, characters, or even phrases, depending on the specific tokenization strategy used. Tokenization is a fundament...Discuss·27 readstokens
Alvin Leealvinslee.hashnode.dev·Apr 8, 2024How to Implement RAG: A Simple WalkthroughHaving the correct data to support your use case is essential to a successful implementation of LLMs in any business. While most out-of-the-box LLMs are great at general tasks, they can struggle with specific business problems. They didn’t train on ...Discusslarge language models
Samiksha KolheforTeckbaker's Blogteckbakers.hashnode.dev·Apr 2, 2024The Answer for Randomness in ChatGPT response: Token Sampling TechniquesHello Techies👋! Hope you all are doing amazing stuff. I'm back with an amazing concept in LLM tech, I'm sure if your are using and working on using OpenAI API's or any other LLM API's to production grade solutions, you must have noticed some randomn...Discuss·1 likeGenerative AIGenAI applications
Farhan Naqvifarhanbytemaster.hashnode.dev·Apr 2, 2024How context window of LLMS cause hindrance in RAG appsA comprehensive overview of the challenges posed by restricted context windows in Retrieval-Augmented Generation (RAG) apps:. Token Limit and Context window in RAG: Large Language Models (LLMs): RAG models often rely on pre-trained LLMs for the gene...DiscussAI
Farhan Naqvifarhanbytemaster.hashnode.dev·Apr 1, 2024What do you mean by fine tuning a LLM ?Large Language Models are sophisticated models trained on vast amounts of text data and are capable of understanding and generating human-like text. Fine-tuning a LLM allows you to use the pre-trained knowledge of the model to perform specific tasks ...DiscussAI
Farhan Naqvifarhanbytemaster.hashnode.dev·Mar 30, 2024Issues with RAG applicationsRetrieval-Augmented Generation (RAG) is a powerful technique, but it does come with some challenges: Finding Relevant Documents: The retrieval process is crucial, as RAG relies on identifying relevant documents to inform the generation process. If t...DiscussAI
Farhan Naqvifarhanbytemaster.hashnode.dev·Mar 29, 2024Internal working of a RAG ApplicationLarge Language Models (LLMs) are powerful tools, but their capabilities are limited by the data they're trained on. They lack access to private user data and the ever-growing stream of newly published information. This challenge along with the limita...Discussworking of rag