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2. Microsoft launches lightweight AI model - AOL

   www.aol.com/news/microsoft-launches-lightweight...

   Phi-3-mini will be available immediately on Microsoft cloud service platform Azure's AI model catalog, machine learning model platform Hugging Face, and Ollama, a framework for running models on a ...

3. What OpenAI’s o3 means for AI progress and what it ... - AOL

   www.aol.com/finance/openai-o3-means-ai-progress...

   On December 20, the company unveiled a new AI model called o3 that showed off-the-charts performance on a series of benchmark tests, including one specifically designed to gauge whether AI models ...

4. List of artificial intelligence projects - Wikipedia

   en.wikipedia.org/wiki/List_of_artificial...

   Libratus, a poker AI that beat world-class poker players in 2017, intended to be generalisable to other applications. [ 25 ] The Matchbox Educable Noughts and Crosses Engine (sometimes called the Machine Educable Noughts and Crosses Engine or MENACE) was a mechanical computer made from 304 matchboxes designed and built by artificial ...

5. AI was everywhere in 2024. Here are the biggest stories of ...

   www.aol.com/news/ai-everywhere-2024-biggest...

   Claude 3.5 Sonnet transforms complex coding tasks. When it launched in June 2024, Claude 3.5 Sonnet changed how coders work, quickly becoming a Silicon Valley favorite. The AI model solved 64% of ...

6. Claude (language model) - Wikipedia

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

   Constitutional AI is an approach developed by Anthropic for training AI systems, particularly language models like Claude, to be harmless and helpful without relying on extensive human feedback. [6] The method, detailed in the paper "Constitutional AI: Harmlessness from AI Feedback" involves two phases: supervised learning and reinforcement ...

7. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

8. Retrieval-augmented generation - Wikipedia

   en.wikipedia.org/wiki/Retrieval-augmented_generation

   Retrieval Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.

9. 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 autoregressive 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]