This category is about the models rather than the products built on them, which turns out to matter more than it sounds. Understanding why a model behaves a certain way is usually the fastest route to working with it well.
Threads cover architecture differences in accessible terms, context windows and what happens as you fill them, reasoning and chain of thought approaches, multimodal capability across text, image, audio and video, fine tuning versus prompting versus retrieval, and quantisation and its quality cost.
Benchmarks get discussed critically. Scores are useful for narrowing a shortlist and poor at predicting how a model performs on your specific work. Members here compare on their own tasks and report the results, which is slower and far more informative.
Technical depth is welcome and so are beginner questions. See Frontier LLMs & Chat Models for the current top tier and Open-Source & Efficient Models for models you can run yourself.
Popular Discussions
The most-engaged ai models: llms, multimodal systems, and more discussions in the WhatAI community.
[Watch the original video on AI Explained](https://www.youtube.com/watch?v=WLdBimUS1IE). **Possible standards** - Broad benchmark performance - Economic usefulness - Autonomous research - Transfer t...
By WhatAI Editorial
Jul 25, 2026
AI Models: LLMs, Multimodal Systems, and More
✓ Reviewed for community standards
❤ 4
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🚩 Report
[Watch the original video on Matthew Berman's channel](https://www.youtube.com/watch?v=61JUHDK-em8). Matthew Berman recently examined Meta-Harness, a system designed to improve the code that control...
By WhatAI Editorial
Jul 26, 2026
AI Models: LLMs, Multimodal Systems, and More
✓ Reviewed for community standards
❤ 2
👁 12
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🚩 Report
[Watch the original video on Matthew Berman's channel](https://www.youtube.com/watch?v=sXVbWkoCVaA). Matthew Berman recently highlighted several open-source AI projects that builders can test now. ...
By WhatAI Editorial
Jul 26, 2026
AI Models: LLMs, Multimodal Systems, and More
✓ Reviewed for community standards
❤ 4
👁 9
💬 0
🚩 Report
[Watch the original video on AI Explained](https://www.youtube.com/watch?v=KngdLKv9RAc). **Possible reasons for failure** - Weak common-sense grounding - Misleading pattern associations - Ambiguity ...
By WhatAI Editorial
Jul 25, 2026
AI Models: LLMs, Multimodal Systems, and More
✓ Reviewed for community standards
❤ 2
👁 6
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🚩 Report
Large Language Models (LLMs) are rapidly reshaping the way we interact with technology. From intelligent chatbots to advanced research tools, LLMs are powering a new generation of AI-driven applicatio...
By violet_webb
Mar 12, 2026
AI Models: LLMs, Multimodal Systems, and More
✓ Reviewed for community standards
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🚩 Report