LLMs & Generative AI - Page 21 of 48
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
An overnight patch is set to broaden Sony’s AI‑driven upscaling across the PS5 Pro library, and the timing couldn’t be more noticeable.
Britannica has taken OpenAI to court, claiming the AI service has been reproducing its articles word for word.
OpenAI is gearing up to roll out a new “adult mode” for ChatGPT, a move that has sparked both curiosity and caution among developers and users alike.
Palantir’s latest showcase pulls back the curtain on a suite of AI‑driven tools that could rewrite how the Pentagon drafts operational plans.
NVIDIA’s new Warp library is aimed at the part of the AI pipeline that still feels like a research‑only playground: differentiable simulations that run at the same resolution engineers use for real‑world products.
Why does the data matter for a model billed as an “open hybrid Mamba‑Transformer MoE for agentic reasoning”?
Why does this matter for the next generation of physical AI? Autonomous vehicles and robots need language models that can run on the edge without choking on the extra tokens that chain‑of‑thought (CoT) reasoning demands.
The latest episode of the LWiAI podcast drops a dense lineup of updates that any AI‑focused professional will want to flag.
Agents are leaning heavily on vector search, and the shift is showing up in how they treat memory.
Google’s latest AI‑focused experiment is stirring a familiar debate: can advertising coexist with a conversational assistant without compromising user trust?
Anthropic has upgraded Claude, its flagship conversational model, to go beyond text and produce visual output on the fly.
Anthropic’s latest memo has raised eyebrows in Washington, flagging a disconnect between the defense department’s confidence in its AI partners and the reality of the data pipelines that feed them. Why does this matter?
Google has woven its Gemini large‑language model straight into Maps, turning the navigation app into a conversational assistant that can parse “complex, real‑world questions.” Want to know the best route that avoids construction, the nearest...
Google has slipped a new Gemini‑powered layer into Maps without asking users first. The feature shows up as a fresh tab right under the search bar, nudging you toward AI‑driven prompts the moment you tap it.
Why does it matter when AI agents learn to work together against foes that don’t play by the rules? Google’s recent experiments suggest the answer lies in the diversity of the opponents they face.
The buzz around OpenAI’s latest tools has shifted from text to moving images. After months of demos that let users describe short clips, the company appears ready to embed that capability directly into its flagship chatbot.
Manufact’s recent $6.3 million raise puts a spotlight on its Multi‑Modal Compute Platform—MCP, which the company bills as the “USB‑C for AI.” The moniker isn’t just marketing fluff; MCP already powers popular chat‑based services like OpenAI’s...
Google’s latest Gemini Embedding 2 pushes the boundaries of what enterprise‑scale embeddings can do by handling images, audio and video without first turning everything into text.
Why are job seekers suddenly staring at digital faces instead of human interviewers? While the tech is impressive, a growing roster of firms—CodeSignal, Humanly, Eightfold, among others—has turned the hiring process into a screen‑driven exercise.
Meta has rolled out four new custom chips aimed at powering its AI models and recommendation engines, a move that underscores the company’s push to amass as much compute as it can.
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