Introduction Wayve, a leading artificial intelligence company based in the United Kingdom, introduces Lingo-2, a groundbreaking system that harnesses the power of natural language processing. It redefines the way self-driving cars perceive and navigate the world around them. It integrates vision, language, and action to explain and determine driving behavior. Wayve LINGO-2 uniquely allows driving […] The post Forget Tesla! Wayve’s LINGO-2 Redefines Autonomous Vehicles with the Power of Speech appeared first on Analytics Vidhya ..read more

Introduction In recent years, the field of artificial intelligence (AI) has witnessed a remarkable surge in the development of generative AI models. These models can generate human-like text, images, and even audio, pushing the boundaries of what was once thought impossible. Among these models, the Generative Pre-trained Transformer (GPT) stands out as a pioneering breakthrough […] The post What is GPT? You Won’t Believe What’s Inside! appeared first on Analytics Vidhya ..read more

Introduction The advent of AI and machine learning has revolutionized how we interact with information, making it easier to retrieve, understand, and utilize. In this hands-on guide, we explore creating a sophisticated Q&A assistant powered by LLamA2 and LLamAIndex, leveraging state-of-the-art language models and indexing frameworks to navigate a sea of PDF documents effortlessly. This […] The post A Hands-On Guide to Creating a PDF-based Q&A Assistant with Llama2 and LlamaIndex appeared first on Analytics Vidhya ..read more

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks. LLMs are versatile, capable of handling tasks such as Text Classification, Summarization, Sentiment Analysis, and Topic Modelling, owing to their extensive pre-training. However, despite […] The post Guide to Fine-tuning Gemini for Masking PII Data appeared first on Analytics Vidhya ..read more

Vision Language models are the models that can process and understand both visual and language(textual input) data simultaneously. These models combine techniques from Computer Vision and Natural Language Processing to understand and generate text based on the image content and language instruction. There are many large vision language models available such as OpenAI’s GPT-4v, Salesforce’s […] The post Introducing Moondream2: A Tiny Vision-Language Model appeared first on Analytics Vidhya ..read more

Introduction Language models are usually trained on extensive amounts of textual data. These models aid in generating natural-sounding responses like humans. Additionally, they can perform various language-related tasks such as translation, text summarization, text generation, answering specific questions, and more. Language models’ evaluation is crucial to validate their performance, quality and to ensure the production […] The post Quantitative Metrics Simplified for Language Model Evaluation appeared first on Analytics Vidhya ..read more

Introduction  Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. These models have achieved state-of-the-art results on different natural language processing tasks, including text summarization, machine translation, question answering, and dialogue generation. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law. Google has been […] The post How to Use Gemma LLM? appeared first on Analytics Vidhya ..read more

Introduction In the rapidly evolving field of Natural Language Processing (NLP), one of the most intriguing challenges is converting natural language queries into SQL statements, known as Text2SQL. The ability to transform a simple English question into a complex SQL query opens up numerous possibilities in database management and data analysis. This is where TinyLlama, […] The post SQL Generation in Text2SQL with TinyLlama’s LLM Fine-tuning appeared first on Analytics Vidhya ..read more

Introduction Large Language Models (LLMs) have captivated the world with their ability to generate human-quality text, translate languages, summarize content, and answer complex questions. Prominent examples include OpenAI’s GPT-3.5, Google’s Gemini, Meta’s Llama2, etc. As LLMs become more powerful and sophisticated, so does the importance of measuring the performance of LLM-based applications. Evaluating LLMs is […] The post LangChain: Automating Large Language Model (LLM) Evaluation appeared first on Analytics Vidhya ..read more

Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning. However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). This paper explored models using fine-tuning and transfer learning. LLAMA2 […] The post Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud appeared first on Analytics Vidhya ..read more