venturebeat

2025-10-17

Researchers find adding this one simple sentence to prompts makes AI models way more creative

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation among some critics as being "fancy autocorrect," generative AI models actually generate their outputs by choosing from a distribution of the most probable next tokens (units of information) to fill out their response.

Asking an LLM: "What is the capital of France?" will have it sample its probability distribution for France, capitals, cities, etc. to arrive at the answer "Paris." But that answer could come in the format of "The capital of France is Paris," or simply "Paris" or "Paris, though it was Versailles at one point."

Still, those of us that use these models frequentl [...]

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venturebeat

2025-10-20

New 'Markovian Thinking' technique unlocks a path to million-token AI reasoning

Researchers at Mila have proposed a new technique that makes large language models (LLMs) vastly more efficient when performing complex reasoning. Called Markovian Thinking, the approach allows LLMs t [...]

Match Score: 53.05

blogspot

2023-12-12

LimeWire AI Studio Review 2023: Details, Pricing & Features

 In the rapidly advancing landscape of AI technology and innovation, LimeWire emerges as a unique platform in the realm of generative AI tools. This platform not only stands out from the multitude of [...]

Match Score: 50.21

venturebeat

2025-10-21

DeepSeek drops open-source model that compresses text 10x through images, defying conventions

DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]

Match Score: 48.08

venturebeat

2025-10-23

Google's 'Watch & Learn' framework cracks the data bottleneck for training computer-use agents

A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at sc [...]

Match Score: 47.56

Destination

2025-02-28

Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+

The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]

Match Score: 46.19

Destination

2025-07-26

Surfshark VPN review: A fast VPN for casual users

Surfshark is one of the youngest major VPNs, but it's grown rapidly over the last seven years. Since 2018, it's expanded its network to 100 countries, added a suite of apps to its Surfshark [...]

Match Score: 45.35

venturebeat

2025-10-13

Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting

Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its abiliti [...]

Match Score: 44.39

venturebeat

2025-10-02

'Western Qwen': IBM wows with Granite 4 LLM launch and hybrid Mamba/Transformer architecture

IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]

Match Score: 44.06

venturebeat

2025-09-30

Meta’s new CWM model learns how code works, not just what it looks like

Meta’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not only what code looks like, but also what it does when executed. The [...]

Match Score: 43.52