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Introducing Phi-3: Redefining what’s potential with SLMs

We’re excited to introduce Phi-3, a household of open AI fashions developed by Microsoft. Phi-3 fashions are the most succesful and cost-effective small language fashions (SLMs) accessible, outperforming fashions of the identical dimension and subsequent dimension up throughout a wide range of language, reasoning, coding, and math benchmarks. This launch expands the choice of high-quality fashions for patrons, providing extra sensible selections as they compose and construct generative AI purposes.

Beginning as we speak, Phi-3-mini, a 3.8B language mannequin is obtainable on Microsoft Azure AI Studio, Hugging Face, and Ollama

  • Phi-3-mini is obtainable in two context-length variants—4K and 128K tokens. It’s the first mannequin in its class to assist a context window of as much as 128K tokens, with little affect on high quality.
  • It’s instruction-tuned, that means that it’s educated to observe several types of directions reflecting how individuals usually talk. This ensures the mannequin is able to use out-of-the-box.
  • It’s accessible on Azure AI to make the most of the deploy-eval-finetune toolchain, and is obtainable on Ollama for builders to run regionally on their laptops.
  • It has been optimized for ONNX Runtime with assist for Home windows DirectML together with cross-platform assist throughout graphics processing unit (GPU), CPU, and even cell {hardware}.
  • It is usually accessible as an NVIDIA NIM microservice with a normal API interface that may be deployed anyplace. And has been optimized for NVIDIA GPUs

Within the coming weeks, further fashions will likely be added to Phi-3 household to supply clients much more flexibility throughout the quality-cost curve. Phi-3-small (7B) and Phi-3-medium (14B) will likely be accessible within the Azure AI mannequin catalog and different mannequin gardens shortly.   

Microsoft continues to supply one of the best fashions throughout the quality-cost curve and as we speak’s Phi-3 launch expands the choice of fashions with state-of-the-art small fashions.

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Azure AI Studio

Phi-3-mini is now accessible

Groundbreaking efficiency at a small dimension

Phi-3 fashions considerably outperform language fashions of the identical and bigger sizes on key benchmarks (see benchmark numbers beneath, larger is healthier). Phi-3-mini does higher than fashions twice its dimension, and Phi-3-small and Phi-3-medium outperform a lot bigger fashions, together with GPT-3.5T.  

All reported numbers are produced with the identical pipeline to make sure that the numbers are comparable. Consequently, these numbers might differ from different printed numbers on account of slight variations within the analysis methodology. Extra particulars on benchmarks are offered in our technical paper

Word: Phi-3 fashions don’t carry out as properly on factual information benchmarks (corresponding to TriviaQA) because the smaller mannequin dimension ends in much less capability to retain information. 

Security-first mannequin design

Phi-3 fashions had been developed in accordance with the Microsoft Accountable AI Customary, which is a company-wide set of necessities based mostly on the next six ideas: accountability, transparency, equity, reliability and security, privateness and safety, and inclusiveness. Phi-3 fashions underwent rigorous security measurement and analysis, red-teaming, delicate use evaluation, and adherence to safety steerage to assist make sure that these fashions are responsibly developed, examined, and deployed in alignment with Microsoft’s requirements and greatest practices.  

Constructing on our prior work with Phi fashions (“Textbooks Are All You Want”), Phi-3 fashions are additionally educated utilizing high-quality knowledge. They had been additional improved with in depth security post-training, together with reinforcement studying from human suggestions (RLHF), automated testing and evaluations throughout dozens of hurt classes, and handbook red-teaming. Our strategy to security coaching and evaluations are detailed in our technical paper, and we define really helpful makes use of and limitations within the mannequin playing cards. See the mannequin card assortment. 

Unlocking new capabilities

Microsoft’s expertise delivery copilots and enabling clients to rework their companies with generative AI utilizing Azure AI has highlighted the rising want for different-size fashions throughout the quality-cost curve for various duties. Small language fashions, like Phi-3, are particularly nice for: 

  • Useful resource constrained environments together with on-device and offline inference eventualities.
  • Latency sure eventualities the place quick response occasions are essential.
  • Value constrained use instances, significantly these with easier duties.

For extra on small language fashions, see our Microsoft Supply Weblog.

Due to their smaller dimension, Phi-3 fashions can be utilized in compute-limited inference environments. Phi-3-mini, specifically, can be utilized on-device, particularly when additional optimized with ONNX Runtime for cross-platform availability. The smaller dimension of Phi-3 fashions additionally makes fine-tuning or customization simpler and extra inexpensive. As well as, their decrease computational wants make them a decrease value possibility with significantly better latency. The longer context window permits taking in and reasoning over massive textual content content material—paperwork, internet pages, code, and extra. Phi-3-mini demonstrates sturdy reasoning and logic capabilities, making it an excellent candidate for analytical duties. 

Prospects are already constructing options with Phi-3. One instance the place Phi-3 is already demonstrating worth is in agriculture, the place web may not be readily accessible. Highly effective small fashions like Phi-3 together with Microsoft copilot templates can be found to farmers on the level of want and supply the extra advantage of operating at diminished value, making AI applied sciences much more accessible.  

ITC, a number one enterprise conglomerate based mostly in India, is leveraging Phi-3 as a part of their continued collaboration with Microsoft on the copilot for Krishi Mitra, a farmer-facing app that reaches over one million farmers.

Our aim with the Krishi Mitra copilot is to enhance effectivity whereas sustaining the accuracy of a big language mannequin. We’re excited to accomplice with Microsoft on utilizing fine-tuned variations of Phi-3 to satisfy each our objectives—effectivity and accuracy!”   

Saif Naik, Head of Expertise, ITCMAARS

Originating in Microsoft Analysis, Phi fashions have been broadly used, with Phi-2 downloaded over 2 million occasions. The Phi collection of fashions have achieved outstanding efficiency with strategic knowledge curation and progressive scaling. Beginning with Phi-1, a mannequin used for Python coding, to Phi-1.5, enhancing reasoning and understanding, after which to Phi-2, a 2.7 billion-parameter mannequin outperforming these as much as 25 occasions its dimension in language comprehension.1 Every iteration has leveraged high-quality coaching knowledge and information switch strategies to problem standard scaling legal guidelines. 

Get began as we speak

To expertise Phi-3 for your self, begin with taking part in with the mannequin on Azure AI Playground. You can even discover the mannequin on the Hugging Chat playground. Begin constructing with and customizing Phi-3 in your eventualities utilizing the Azure AI Studio. Be part of us to be taught extra about Phi-3 throughout a particular stay stream of the AI Present.  

1 Microsoft Analysis Weblog, Phi-2: The stunning energy of small language fashions, December 12, 2023.



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