THE ALGORITHM

INSIGHTS FROM THE WORLD OF DATA SCIENCE & AI

Open AI’s 12 Days of Shipmas
Tony Ojeda Tony Ojeda

Open AI’s 12 Days of Shipmas

OpenAI's "12 Days of OpenAI" event, colloquially known as "shipmas," commenced on December 5, 2024, unveiling a series of innovations to celebrate the second anniversary of ChatGPT, which now serves over 300 million weekly users.

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Gemini 2.0: Pioneering the Agentic Era in AI
Tony Ojeda Tony Ojeda

Gemini 2.0: Pioneering the Agentic Era in AI

Google's unveiling of Gemini 2.0 represents a seismic shift in artificial intelligence, introducing models capable of advanced reasoning, multimodal capabilities, and agentic action. This development is being hailed as a transformative step toward more autonomous, efficient, and practical AI applications.

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GitHub Copilot Free in VS Code
Tony Ojeda Tony Ojeda

GitHub Copilot Free in VS Code

GitHub has announced that its AI-powered code completion tool, GitHub Copilot, is now available for free within Visual Studio Code (VS Code). This move aims to make AI-assisted coding more accessible to developers, enhancing productivity and code quality.

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Google’s Breakthrough in Video and Image Generation
Tony Ojeda Tony Ojeda

Google’s Breakthrough in Video and Image Generation

Google has recently unveiled significant advancements in generative AI with the introduction of Veo 2, Imagen 3, and a novel tool named Whisk. These innovations are poised to redefine the landscape of AI-driven content creation.

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Meta Releases Llama 3.3 70B
Tony Ojeda Tony Ojeda

Meta Releases Llama 3.3 70B

Meta has unveiled Llama 3.3 70B, an open-source large language model (LLM) that delivers performance comparable to its larger counterpart, Llama 3.1 405B, but with significantly reduced computational demands. This advancement underscores Meta's commitment to democratizing AI by providing powerful yet accessible tools to the developer community.

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Recommender Systems in the Age of Generative AI
Tony Ojeda Tony Ojeda

Recommender Systems in the Age of Generative AI

Back in 2003, Amazon startled many users by suggesting books that seemed uncannily well-matched to their interests. These weren't just popular books being pushed to everyone – they were often obscure texts that perfectly matched individual reading patterns. This was one of the first mainstream encounters with what would become one of the most transformative applications of computer science.

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