Phi-3 Description
Small language models (SLMs), a powerful family of small language models, with low cost and low-latency performance. Maximize AI capabilities and lower resource usage, while ensuring cost-effective generative AI implementations across your applications. Accelerate response time in real-time interaction, autonomous systems, low latency apps, and other critical scenarios. Phi-3 can be run in the cloud, on the edge or on the device. This allows for greater flexibility in deployment and operation. Phi-3 models have been developed according to Microsoft AI principles, including accountability, transparency and fairness, reliability, safety and security, privacy, and inclusivity. Operate efficiently in offline environments, where data privacy or connectivity are limited. Expanded context window allows for more accurate, contextually relevant and coherent outputs. Deploy at edge to deliver faster response.
Phi-3 Alternatives
Gemini Flash
Gemini Flash, a large language model from Google, is specifically designed for low-latency, high-speed language processing tasks. Gemini Flash, part of Google DeepMind’s Gemini series is designed to handle large-scale applications and provide real-time answers. It's ideal for interactive AI experiences such as virtual assistants, live chat, and customer support. Gemini Flash is built on sophisticated neural structures that ensure contextual relevance, coherence, and precision. Google has built in rigorous ethical frameworks as well as responsible AI practices to Gemini Flash. It also equipped it with guardrails that manage and mitigate biased outcomes, ensuring alignment with Google's standards of safe and inclusive AI. Google's Gemini Flash empowers businesses and developers with intelligent, responsive language tools that can keep up with fast-paced environments.
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Amazon Nova
Amazon Nova is the new generation of foundation models (FMs), which are state-of-the art (SOTA), and offer industry-leading price-performance. They are available exclusively through Amazon Bedrock.
Amazon Nova Micro and Amazon Nova Lite are understanding models which accept text, images, or videos as inputs and produce text output. They offer a wide range of capabilities, accuracy, speed and cost operation points.
Amazon Nova Micro, a text-only model, delivers the lowest latency at a very low price.
Amazon Nova Lite, a multimodal model with a low cost, is lightning-fast at processing text, image, and video inputs.
Amazon Nova Pro is an extremely capable multimodal model that offers the best combination of accuracy and speed for a variety of tasks. Amazon Nova Pro is a powerful model that can handle almost any task. Its speed and cost efficiency are industry-leading.
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Qwen2
Qwen2 is a large language model developed by Qwen Team, Alibaba Cloud.
Qwen2 is an extensive series of large language model developed by the Qwen Team at Alibaba Cloud. It includes both base models and instruction-tuned versions, with parameters ranging from 0.5 to 72 billion. It also features dense models and a Mixture of Experts model. The Qwen2 Series is designed to surpass previous open-weight models including its predecessor Qwen1.5 and to compete with proprietary model across a wide spectrum of benchmarks, such as language understanding, generation and multilingual capabilities.
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Arcee-SuperNova
Our new flagship model, the Small Language Model (SLM), has all the power and performance that you would expect from a leading LLM. Excels at generalized tasks, instruction-following, and human preferences. The best 70B model available. SuperNova is a generalized task-based AI that can be used for any generalized task. It's similar to Open AI's GPT4o and Claude Sonnet 3.5. SuperNova is trained with the most advanced optimization & learning techniques to generate highly accurate responses. It is the most flexible, cost-effective, and secure language model available. Customers can save up to 95% in total deployment costs when compared with traditional closed-source models. SuperNova can be used to integrate AI in apps and products, as well as for general chat and a variety of other uses. Update your models regularly with the latest open source tech to ensure you're not locked into a single solution. Protect your data using industry-leading privacy features.
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Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
azure.microsoft.com/en-us/products/phi-3
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Product Details
Platforms
SaaS
Type of Training
Documentation
Customer Support
Online
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