Shivam Vishwakarmashivam-vishwakarma.hashnode.dev·6 hours agoExploring Gemini: Google's Next-Gen AI Model for Multimodal IntelligenceIn the AI landscape, Google’s Gemini has quickly become a topic of fascination. Launched by Google DeepMind, Gemini promises to push the boundaries of machine intelligence, especially in multimodal capabilities. This blog delves into what Gemini brin...DiscussAI
Sujit Nirmalblackshadow.hashnode.dev·19 hours agoIntroduction to Chatbots and GenAIChatbots are AI-driven programs designed to simulate conversation with human users. They can be used for customer service, personal assistance, and more. Generative AI, on the other hand, involves using AI models to generate new content, such as text...Discusschatbot
William Stetarcopin43.hashnode.dev·a day agoUnveiling the Deceptive Funnels of Meta's LLaMA 3: A Critical AnalysisIntroduction In the rapidly evolving landscape of artificial intelligence, language models like Meta's LLaMA 3 have garnered significant attention for their capabilities and applications. However, beneath the surface of impressive technical achieveme...Discussllm
Mark Pelfmarkpelf.hashnode.dev·a day agoSkepticism about Large Language Models (LLM) and ChatGPTAI scientist thinks Large Language Models (LLM) will never be really smart Abstract: Top AI scientist, Yann LeCun is skeptical about Large Language Models (LLM) being the right path to achieving Artificial general intelligence (AGI) and believes they...DiscussAIAI
NovitaAInovita.hashnode.dev·Oct 23, 2024Enhance Your Applications with Llama 3 API AccessKey Highlights Llama 3 Model Overview:Meta’s Llama 3 family includes advanced large language models (LLMs) in 8B and 70B sizes, optimized for dialogue tasks and text generation. Performance Evaluation: Llama 3 surpasses open-source models like Mist...Discussllm
Bhavishya PanditforfreeCodeCampfreecodecamp.org·Oct 21, 2024Which Tools to Use for LLM-Powered Applications: LangChain vs LlamaIndex vs NIMIf you’re considering building an application powered by a Large Language Model, you may wonder which tool to use. Well, two well-established frameworks—LangChain and LlamaIndex—have gained significant attention for their unique features and capabili...DiscussLLM's
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 21, 2024Chunking StrategiesChunking Strategies are essential in processing large text documents for applications like Retrieval Augmented Generation (RAG) models. They help in breaking down extensive text into smaller, manageable pieces (chunks) that can be individually embedd...DiscussGen AIopenai
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 21, 2024Indexing embeddings for efficient retrieval using Azure Cognitive SearchCertainly! Indexing embeddings for efficient retrieval using Azure Cognitive Search involves several steps: Preparing a Small Text Dataset Generating Embeddings for the Text Creating an Azure Cognitive Search Index with Vector Search Capabilities ...DiscussGen AIazure ai services
Sai Prasanna Maharanasaimaharana.hashnode.dev·Oct 21, 2024Data preprocessing pipeline for a Retrieval Augmented Generation (RAG) modelCertainly! Creating a data preprocessing pipeline for a Retrieval Augmented Generation (RAG) model involves several steps, especially when dealing with diverse data formats like images, Word documents, PowerPoint presentations, PDFs, and JSON files. ...DiscussLLM's
Sujit Nirmalblackshadow.hashnode.dev·Oct 19, 2024How I Started My Open Source Contribution Journey in Machine LearningEmbarking on an open source contribution journey can seem daunting at first, but it is one of the most fulfilling experiences for any developer. Here's how I started contributing to open source machine learning projects and how you can do it too. Dis...DiscussOpensource LLms
