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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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Text to Sound – Train Your Large Language Models

Analytics Vidhya

Introduction Imagine a world where AI can take a musician’s voice command and transform it into a beautiful, melodic guitar sound. It’s not science fiction; it results from groundbreaking research in the open-source community, ‘The Sound of AI’.

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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). It offers a more hands-on and communal way for AI to pick up new skills.

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Falcon AI: The New Open Source Large Language Model

Analytics Vidhya

Introduction Ever since the launch of GPT (Generative Pre Trained) by Open AI, the world has been taken by storm by Generative AI. From that period on, many Generative Models have come into the picture. With each release of new Generative Large Language Models, AI kept on coming closer to Human Intelligence.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications.

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Knowledge Fusion of Large Language Models (LLMs)

Analytics Vidhya

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

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Top 10 Large Language Models on Hugging Face

Analytics Vidhya

Introduction Hugging Face has become a treasure trove for natural language processing enthusiasts and developers, offering a diverse collection of pre-trained language models that can be easily integrated into various applications. In the world of Large Language Models (LLMs), Hugging Face stands out as a go-to platform.

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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.