


Guide to lightning-fast JAX
Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Meet JAX!. Your new best friend in your machine learning, deep learning, and numerical computing journey. Think of it as NumPy wit
Mar 19, 2025 am 11:21 AM
Agentic RAG for Analyzing Customer Issues
This article explores Agentic RAG, an advanced AI technique that significantly improves the capabilities of Large Language Models (LLMs). Unlike traditional, or "Naive," RAG, which passively retrieves information, Agentic RAG incorporates a
Mar 19, 2025 am 11:20 AM
Customer Call Analysis Made Easy with SnapSynapse
Customer support calls hold a wealth of information, but finding the time to manually comb through these recordings for insights isn’t easy. Imagine if you could instantly turn these long recordings into clear summaries, track ho
Mar 19, 2025 am 11:17 AM
3 Advanced Strategies for Retrievers in LangChain
LangChain Retrieval: Efficient and Flexible Access to Documents The searcher in the LangChain framework plays a crucial role, providing a flexible interface for returning documents based on unstructured queries. Unlike vector databases, the searcher does not need to store documents; its main function is to retrieve relevant information from a large amount of data. While vector databases can serve as the basis for retriers, there are various types of retriers, each customizable for a specific use case. Learning Objectives Understand the key role of searchers in LangChain and achieve efficient and flexible document retrieval to meet various application needs. Learn how LangChain's searcher (from vector database to multi-query and context compression) simplifies
Mar 19, 2025 am 11:16 AM
Jamba 1.5: Featuring the Hybrid Mamba-Transformer Architecture
Jamba 1.5: A Powerful Hybrid Language Model for Long-Context Processing Jamba 1.5, a cutting-edge large language model from AI21 Labs, boasts impressive capabilities for handling extensive text contexts. Available in two versions – Jamba 1.5 Large (
Mar 19, 2025 am 11:15 AM
50 Generative AI Interview Questions - Analytics Vidhya
Generative AI is a newly developed field booming exponentially with job opportunities. Companies are looking for candidates with the necessary technical abilities and real-world experience building AI models. This list of intervi
Mar 19, 2025 am 11:14 AM
Generative AI in Decision-Making: Pitfalls, and Practical Solutions
In recent years, generative AI has gained prominence in areas like content generation and customer support. However, applying it to complex systems involving decision-making, planning, and control is not straightforward. This pap
Mar 19, 2025 am 11:01 AM
4 Steps to Build Multi-Agent Nested Chats with AutoGen
Nested Chat in AutoGen: Building more responsive and dynamic AI proxy interactions Advances in artificial intelligence (AI) have enabled chatbots to develop rapidly. Today, with the advent of AI agents, chatbots are able to handle more complex and layered interactions, far beyond the limitations of traditional conversations. In our previous article, Building a Multi-Agent Chatbot with AutoGen, we explore the concept of sequential chat using AutoGen, which allows structured, rotating communication between multiple agents. Now, based on this, we will move to a more complex feature: nested chat. With AutoGen's powerful framework, nested dialogue allows robots to maintain smooth communication without
Mar 19, 2025 am 11:00 AM
How to Access Stable Diffusion 3.5? - Analytics Vidhya
Stable Diffusion 3.5: A Deep Dive into its Models and Access Methods Stability.ai's latest release, Stable Diffusion 3.5, boasts three customizable models—Large, Large Turbo, and Medium—all optimized for consumer hardware. This article explores these
Mar 19, 2025 am 10:56 AM
A Guide to 400 Categorized Large Language Model Datasets
This groundbreaking survey, "Datasets for Large Language Models: A Comprehensive Survey," released in February 2024, unveils a treasure trove of over 400 meticulously categorized datasets for Large Language Model (LLM) development. Compile
Mar 19, 2025 am 10:54 AM
Improving AI Hallucinations
This article explores Retrieval-Augmented Generation (RAG), a cutting-edge AI technique that boosts response accuracy by merging retrieval and generation capabilities. RAG enhances AI's ability to provide reliable, contextually relevant answers by f
Mar 19, 2025 am 10:51 AM
How to Build Multimodal Retrieval with ColQwen and Vespa?
This document explores ColQwen, a cutting-edge multimodal retrieval model, and its integration with Vespa, a powerful vector database, for efficient document retrieval. Unlike traditional methods that rely on text extraction, ColQwen directly embeds
Mar 19, 2025 am 10:46 AM
A Guide to Flax: Building Efficient Neural Networks with JAX
Flax: A High-Performance Neural Network Library Built on JAX Flax is a cutting-edge neural network library built upon JAX, offering researchers and developers a robust, high-performance toolkit for creating sophisticated machine learning models. Its
Mar 19, 2025 am 10:44 AM
Boost Model Evaluation with Custom Metrics in LLaMA-Factory
In this guide, I’ll walk you through the process of adding a custom evaluation metric toLLaMA-Factory. LLaMA-Factory is a versatile tool that enables users to fine-tune large language models (LLMs) with ease, thanks to its user-f
Mar 19, 2025 am 10:40 AM
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