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LangChain: Automating Large Language Model (LLM) Evaluation

Analytics Vidhya

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. As LLMs become more powerful and sophisticated, so does the importance of measuring the performance of LLM-based applications.

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How to Build Reliable LLM Applications with Phidata?

Analytics Vidhya

Introduction With the intro of Large Language Models, the usage of these LLMs in different applications has greatly increased. In most of the recent applications developed across many problem statements, LLMs are part of it. appeared first on Analytics Vidhya.

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Evaluating Large Language Models: A Technical Guide

Unite.AI

Large language models (LLMs) like GPT-4, Claude, and LLaMA have exploded in popularity. But how do we know if these models are actually any good? With new LLMs being announced constantly, all claiming to be bigger and better, how do we evaluate and compare their performance?

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10 Exciting Projects on Large Language Models(LLM)

Analytics Vidhya

With advanced large […] The post 10 Exciting Projects on Large Language Models(LLM) appeared first on Analytics Vidhya. A portfolio of your projects, blog posts, and open-source contributions can set you apart from other candidates.

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Understanding LLM Fine-Tuning: Tailoring Large Language Models to Your Unique Requirements

Unite.AI

As we stand in September 2023, the landscape of Large Language Models (LLMs) is still witnessing the rise of models including Alpaca, Falcon, Llama 2 , GPT-4, and many others. Hugging Face – Open LLM Leaderboard Why is LLM fine-tuning important?

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Decoder-Based Large Language Models: A Complete Guide

Unite.AI

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks.

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Deploying Large Language Models in Production: LLMOps with MLflow

Analytics Vidhya

Introduction Large Language Models (LLMs) are now widely used in a variety of applications, like machine translation, chat bots, text summarization , sentiment analysis , making advancements in the field of natural language processing (NLP).