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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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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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Open source large language models: Benefits, risks and types

IBM Journey to AI blog

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

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Will Large Language Models End Programming?

Unite.AI

Transitioning from Low-Code to AI-Driven Development Low-code & No code tools simplified the programming process, automating the creation of basic coding blocks and liberating developers to focus on creative aspects of their projects. The post Will Large Language Models End Programming? appeared first on Unite.AI.

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AutoGen: Powering Next Generation Large Language Model Applications

Unite.AI

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. Developers worldwide are exploring the potential applications of LLMs. Large language models are intricate AI algorithms.

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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit Claude 3 → 2.

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Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud

Analytics Vidhya

Introduction Welcome to the world of Large Language Models (LLM). However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP).