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Race for Dominance: Companies Develop Next-Gen Large Language Models

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Manage episode 409146076 series 3385494
Content provided by Dr. Tony Hoang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Tony Hoang or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Companies are racing to develop the next generation of large language models (LLMs) as the battle for generative AI heats up. OpenAI's success with Chat GPT has attracted rivals seeking to challenge their dominance in the field. Canadian startup Cohere has raised $500 million in funding and partnered with Oracle, rapidly growing its revenue and valuation. Google, Meta, HP, Anthropic, and Mistral are also aggressively developing their own LLMs, while Microsoft independently works on foundational models. Open-source initiatives and a focus on ethics and accessibility are emerging as important factors. The future of LLM supremacy is predicted to involve a small number of broad foundational models and context-specific models.

--- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message
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420 episodes

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iconShare
 
Manage episode 409146076 series 3385494
Content provided by Dr. Tony Hoang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dr. Tony Hoang or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Companies are racing to develop the next generation of large language models (LLMs) as the battle for generative AI heats up. OpenAI's success with Chat GPT has attracted rivals seeking to challenge their dominance in the field. Canadian startup Cohere has raised $500 million in funding and partnered with Oracle, rapidly growing its revenue and valuation. Google, Meta, HP, Anthropic, and Mistral are also aggressively developing their own LLMs, while Microsoft independently works on foundational models. Open-source initiatives and a focus on ethics and accessibility are emerging as important factors. The future of LLM supremacy is predicted to involve a small number of broad foundational models and context-specific models.

--- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message
  continue reading

420 episodes

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