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Beginner’s Guide to Build Your Own Large Language Models from Scratch

Analytics Vidhya

Introduction Be it twitter or Linkedin, I encounter numerous posts about Large Language Models(LLMs) each day. Perhaps I wondered why there’s such an incredible amount of research and development dedicated to these intriguing models.

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Ultimate List of Generative AI Resources

Analytics Vidhya

Introduction The rise of Large Language Models (LLMs) like ChatGPT has been revolutionary, igniting a new era in how we interact with technology. These sophisticated models, exemplified by ChatGPT, have redefined how we engage with digital platforms.

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Text to Sound – Train Your Large Language Models

Analytics Vidhya

It’s not science fiction; it results from groundbreaking research in the open-source community, ‘The Sound of AI’.

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Moving Large Language Models (LLM) into Real-World Business Applications

Unite.AI

Large language models are everywhere. Large Language Models and Core Strengths LLMs are good at understanding language, that’s their forte. Turbo (ChatGPT) was used. Then we combined these extracted entities with data model of patients SQL database in Snowflake, to create a prompt.

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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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Why downsizing large language models is the future of generative AI

Flipboard

Smaller language models can be based on a billion parameters or less—still pretty large, but much smaller than foundational LLMs like ChatGPT and Bard. Businesses are keen to unlock the power of generative AI, and yet large language models like ChatGPT present obvious challenges for corporate use.

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Bridging Large Language Models and Business: LLMops

Unite.AI

The roadmap to LLM integration have three predominant routes: Prompting General-Purpose LLMs : Models like ChatGPT and Bard offer a low threshold for adoption with minimal upfront costs, albeit with a potential price tag in the long haul. It provides facilities for tracking experiments and managing production models.