LLMs & Generative AI - Page 10 of 55
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
1085 articles
View complete article list
Grab, CJ ENM, LiveKit praise Gemini 3.5 Live Translate for quality and accuracy
Real-time translation software has always sucked. Users gritted their teeth through a slow, robotic mess or paid out the nose for human interpreters. That changed this month.
Apple's top AI concept mirrors vibe coding, using Shortcuts as a model
Google and Microsoft slap "AI" on every feature launch. Apple's Shortcuts app has simply done the work for years.
CoCoNuT paradigm expands residual stream for latent‑space, multi‑path reasoning
The promise of latent-space reasoning is irresistible: think in parallel, explore multiple paths, never prematurely commit. CoCoNuT delivers on that vision, until it doesn’t.
OmniMem adds modality-aware memory allocation for audio‑visual LLMs
Every AI model has a memory limit, but audio-visual ones face a uniquely stupid problem. They treat a fleeting sound and a dense video frame as if they were equally important. They aren't.
PathoSage Introduces Three‑Stage Framework for Patch‑Level Pathology Reasoning
AI systems for diagnosing tissue samples are famously unreliable. They hallucinate, get confused, and often miss the point entirely. This isn't just a performance issue. It's a design flaw.
Apple unveils third‑gen foundation model, AFM 3 Cloud shows 36% boost
For years, Apple's AI was publicly seen as a laggard. That story ended Tuesday. The third-generation AFM 3 Cloud arrived as a wholesale correction, with internal benchmarks showing a 36% jump in response satisfaction.
NVFP4 recipe speeds JAX/MaxText training on NVIDIA Blackwell and Rubin
Training large language models at 4-bit precision without sacrificing accuracy has long seemed like a zero-sum game, until now.
Weaker LLMs Accidentally Delete Content, Shrinking Documents Over Time
Weak AI is clumsy. Strong AI is treacherous. A feeble language model will just erase things. It leaves obvious holes in your work, making the document shrink with every request. You can see the damage.
Four New Specific Techniques to Boost Productivity with Claude Code
Coding agents like Claude Code hold immense potential, but most developers leave that potential on the table. They feed it a prompt, skim the output, and move on. That’s not productivity. That’s underleverage.
Jensen Huang sees token market segmenting into distinct value tiers
Forget bulk commodities. Nvidia CEO Jensen Huang sees the AI market fracturing. Every digital sliver of processing now carries a price tag directly tied to its power. Expensive tokens handle complex reasoning. Cheaper ones manage simple tasks.
OpenAI to revamp ChatGPT, shift to business customers, rival Anth
The chatbot era is over. At least, that’s the conviction now driving a radical overhaul inside OpenAI. The company that ignited the AI boom with ChatGPT is quietly pivoting away from its most famous creation.
MLP Networks Fit High-Frequency Functions One Oscillation at a Time
Neural networks are supposed to learn the easy stuff first. The broad strokes, the low frequencies. That’s the established story of spectral bias. It’s wrong, or at least incomplete.
SafeGene Introduces Reusable Safety-Adapter for Cross-Task Model Families
Safety in AI models is a sticker you peel off and reapply every single time you change anything. That’s the industry norm. SafeGene, a new method detailed in a recent arXiv paper, argues this is a broken process.
FAIR-Calib Introduces Two-Stage PTQ Framework for Diffusion LLM Quantization
Quantizing a diffusion language model is like tightening a screw on a running engine. Standard methods crush the delicate parts. They treat every hidden state the same, which is a mistake.
Elmes* Automates Fine-Grained Rubric Building for LLMs in Niche Education
Standardized tests can’t capture what makes a great tutor, or a failing one. In niche education, where every subject, grade, and task demands its own criteria, coarse evaluation rubrics flatten nuance into noise. Elmes* changes that.
Lean4Agent launches FormalAgentLib to model and verify workflow consistency
Every agent workflow fails eventually. Usually in a weird, unpredictable way you can't debug. The problem isn't the model—it's the hidden assumptions, the semantic gaps, the small mistakes that cascade into a total breakdown.
Study Finds No One-Size-Fits-All Strategy for Multi-Agent Communication
Forget finding the perfect way for AI agents to talk. There isn't one. A new study tested five standard communication strategies across different agent networks. The conclusion is blunt. No single protocol works best in every situation.
xAI used Anthropic’s Claude via personal accounts after access revoked for months
Elon Musk’s xAI trained its models by borrowing from a rival long after the rival told it to stop. The technical term is data mooching.
Study examines temporal preference concepts in large language models
AI models are making our choices now. That means they're constantly facing a very human dilemma: grab the immediate reward, or wait for a better one later? How does a large language model actually make that call?
Errorquake-10k Benchmark Scores 10,000 LLM Responses on 0-4 Severity Scale
Accuracy alone is a lie. It flattens every mistake into a single number, hiding the gulf between a model misremembering a date and one concocting a false patient history. The Errorquake-10k benchmark shatters that illusion.
Featured Resources & Reviews
No Code MBA Course Review
Learn to build AI-powered apps without coding. Our comprehensive review of No Code MBA's course.
AI Tools & Resources
Curated collection of AI tools, courses, and frameworks to accelerate your AI journey.
Weekly AI Digest
Get the week's most important AI news delivered to your inbox every week.