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2. Amazon adds Andrew Ng, a leading voice in artificial ... - AOL

   www.aol.com/news/amazon-adds-andrew-ng-leading...

   Amazon is adding artificial intelligence visionary Andrew Ng to its board of directors, a move that comes amid intense AI competition among startups and big technology companies. The Seattle ...

3. Andrew Ng - Wikipedia

   en.wikipedia.org/wiki/Andrew_Ng

   Andrew Yan-Tak Ng (Chinese: 吳恩達; born April 18, 1976 [2]) is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence (AI). [3] Ng was a cofounder and head of Google Brain and was the former Chief Scientist at Baidu , building the company's Artificial Intelligence Group ...

4. List of large language models - Wikipedia

   en.wikipedia.org/wiki/List_of_large_language_models

   A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text. This page lists notable large language models.

5. Llama (language model) - Wikipedia

   en.wikipedia.org/wiki/Llama_(language_model)

   Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024. [4] Llama models are trained at different parameter sizes, ranging between 1B and 405B. [5]

6. Google Brain - Wikipedia

   en.wikipedia.org/wiki/Google_Brain

   Google Brain was a deep learning artificial intelligence research team that served as the sole AI branch of Google before being incorporated under the newer umbrella of Google AI, a research division at Google dedicated to artificial intelligence.

7. Chinchilla (language model) - Wikipedia

   en.wikipedia.org/wiki/Chinchilla_(language_model)

   It is named "chinchilla" because it is a further development over a previous model family named Gopher. Both model families were trained in order to investigate the scaling laws of large language models. [2] It claimed to outperform GPT-3. It considerably simplifies downstream utilization because it requires much less computer power for ...