venturebeat

2025-11-17

Phi-4 proves that a 'data-first' SFT methodology is the new differentiator

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. 

The Phi-4 fine-tuning methodology is the cleanest public example of a training approach that smaller enterprise teams can copy. It shows how a carefully chosen dataset and fine-tuning strategy can make a 14B model compete with much larger ones.

The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft Phi-4 research team focused on “teachable” examples at the edge of the model’s abilities and rigorous data curation. 

The Phi- [...]

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Destination

2025-02-27

Microsoft expands its SLM lineup with new multimodal and mini Phi-4 models

Microsoft has added two new models to its Phi small language model family: Phi-4-multimodal, which can handle audio, images and text simultaneously, and Phi-4-mini, a streamlined model focused on text [...]

Match Score: 109.06

Destination

2025-05-27

How Phi-4-Reasoning Redefines AI Reasoning by Challenging “Bigger is Better” Myth

Microsoft's recent release of Phi-4-reasoning challenges a key assumption in building artificial intelligence systems capable of reasoning. Since the introduction of chain-of-thought reasoning in [...]

Match Score: 76.41

Destination

2025-07-12

Microsoft introduces Phi-4-mini-flash-reasoning with up to 10x higher token throughput

Microsoft has introduced Phi-4-mini-flash-reasoning, a lightweight AI model built for scenarios with tight computing, memory, or latency limits. Designed for edge devices and mobile apps, the model ai [...]

Match Score: 76.03

venturebeat

2025-11-14

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning task [...]

Match Score: 67.81

Destination

2025-01-08

Microsoft releases full Phi-4 model with weights under MIT license

Microsoft Research's new Phi-4 LLM matches the abilities of much larger models while using just 14 billion parameters - about one-fifth the size of similar systems.<br /> The article Micros [...]

Match Score: 65.61

Destination

2025-05-01

Microsoft's Phi-4-reasoning models outperform larger models and run on your laptop or phone

Microsoft is expanding its Phi series of compact language models with three new variants designed for advanced reasoning tasks.<br /> The article Microsoft's Phi-4-reasoning models outperfo [...]

Match Score: 65.34

Destination

2025-05-08

Microsoft's Phi 4 responds to a simple "Hi" with 56 thoughts

Developer Simon Willison has noticed that Microsoft's Phi 4 reasoning model thinks for 56 sentences before responding to "Hi".<br /> The article Microsoft's Phi 4 responds to [...]

Match Score: 54.43

Destination

2025-06-30

How to buy the Switch 2: Nintendo's restock updates from Walmart, Best Buy and more

The Nintendo Switch 2 has been available in the US for more than three weeks — and we finally saw a second wave of availability at retail as June was coming to an end. While it's too early to d [...]

Match Score: 43.00

Destination

2025-05-09

Nintendo Switch 2 pre-order updates: The latest on restocks, My Nintendo Store invites and more

Nintendo Switch 2 pre-orders are officially live at Nintendo's online store — but only if you've received an invite. As advertised, the My Nintendo Store began sending out Switch 2 pre-ord [...]

Match Score: 40.58