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How to Build a Multilingual Chatbot using Large Language Models?

Analytics Vidhya

Introduction This article covers the creation of a multilingual chatbot for multilingual areas like India, utilizing large language models. The system improves consumer reach and personalization by using LLMs to translate questions between local languages and English. appeared first on Analytics Vidhya.

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Meta Llama 3: Redefining Large Language Model Standards

Analytics Vidhya

Introduction The landscape of artificial intelligence has been dramatically reshaped over the past few years by the advent of Large Language Models (LLMs). At the forefront of this […] The post Meta Llama 3: Redefining Large Language Model Standards appeared first on Analytics Vidhya.

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Is Hallucination in Large Language Models (LLMs) Inevitable?

Analytics Vidhya

Introduction You’ve probably interacted with AI models like ChatGPT, Claude, and Gemini for various tasks – answering questions, generating creative content, or assisting with research. But did you know these are examples of large language models (LLMs)? appeared first on Analytics Vidhya.

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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. 405B: The most powerful model with 405 billion parameters Llama 3.1 70B: A balanced model offering strong performance Llama 3.1

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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How to Fine-Tune Large Language Models with MonsterAPI

Analytics Vidhya

This vision is becoming a reality with advancements in large language models (LLMs). However, to tailor these models to specific tasks, fine-tuning is essential. Think of it as sculpting a rough block into a precise masterpiece.

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Gemma 2: Successor to Google Gemma Family of Large Language Models

Analytics Vidhya

This latest iteration introduces two models: a 27 billion parameter version that matches the performance of larger models like Llama 3 70B with significantly lower processing requirements, and a 9 billion parameter version that surpasses the Llama […] The post Gemma 2: Successor to Google Gemma Family of Large Language Models appeared first on (..)