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SLM Spotlight
Small Language Model
News & Insights
Latest News
Rakuten introduces AI models tailored for Japanese, enhancing language processing and cultural relevance in various applications.
Microsoft Research 2024 addresses global challenges with innovative solutions, advancing technology to meet a changing world.
Patronus AI open-sources Glider, a 3B state-of-the-art small language model (SLM) designed for judging.
AI transforms gaming, from development to quality assurance, enhancing efficiency and creativity, says Microsoft’s Jun Shimoda.
LG Uplus collaborates with startups to enhance AI agent "ixi," driven by strategic leadership under its new CEO.
Phi Silica is a small yet powerful on-device small language model, offering efficient, high-quality performance.
Oct 5, 2024
2 min read
What is a Small Language Model
Small language models (SLMs) are compact versions of large language models (LLMs), designed to perform specific natural language...
Insights
Editorial Staff
Dec 22, 2024
Language AIs in 2024 focus on size optimization, robust guardrails, and advancements towards fully functional AI agents.
Language AI in 2024 is defined by advancements in three critical areas: size optimization, implementation of guardrails, and the...
Editorial Staff
Oct 5, 2024
Tokenization
What is Tokenization? Tokenization is the process of breaking down unstructured text into smaller units called tokens. These tokens can...
Editorial Staff
Oct 5, 2024
Performance Monitoring
Performance monitoring in the training of Small Language Models (SLMs) is essential for ensuring that these models meet their intended...
Editorial Staff
Oct 5, 2024
Model Fine-Tuning
Model fine-tuning in the training of Small Language Models (SLMs) is a crucial process that enhances the model's performance on specific...
Language Models in Technology
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Oct 5, 2024
2 min read
Model Initialization
Model initialization is a crucial step in training small language models (SLMs), as it significantly impacts their performance and...
Oct 5, 2024
2 min read
Validation
Validation Data Set The validation data set is a crucial component in the training of Small Language Models (SLMs). It is used to...
Oct 5, 2024
2 min read
Error Handling
Error handling in the training of Small Language Models (SLMs) is a critical aspect that ensures the models produce reliable and accurate...
Oct 5, 2024
2 min read
Compression
After fine-tuning a Small Language Model (SLM), the compression step is crucial for optimizing the model for deployment, particularly in...
Urban
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Oct 5, 2024
2 min read
Documentation
Key Components of the Documentation Process Model Description This section provides an overview of the SLM, including: Architecture:...
Oct 4, 2024
3 min read
Reporting
The reporting process following the training of a Small Language Model (SLM) is essential for assessing the model's performance,...
Video Library
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Exploring the Rise of Small Language Models
Learn more about small language models, starring Microsoft's Phi-2 with Tula Masterman 🤖 Understanding Small Language Models: What are they and why they matter 🔍 Introducing Microsoft's latest SLM: Phi-2 💡 Deep dive into Phi-2's standout performance across various industry benchmarks 🌐 Insights from Tula Masterman on the impact of SLMs in technology 📈 Examining the future prospects and potential applications of Phi-2 and other SLMs #SmallLanguageModels #Phi2 #Microsoft #AI #Technology #Innovation #IndustryBenchmarks #TulaMasterman #Neudesic
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Introducing the next evolution of generative AI: small language models
You've heard of large language models and how they power Copilot. But what are small language models (SLMs) and why are they the next evolution of generative AI? Donald Kossmann (Vice President, Business Copilot AI) will share how Microsoft researchers are using SLMs to create agile generative AI models that perform as well as LLMs and are affordable enough for any organization to curate and fine-tune. Check out new capabilities for Dynamics 365 and Power Platform with the 2024 release wave 1 plans: https://learn.microsoft.com/en-us/dynamics365/release-plans/ #Microsoft #MicrosoftDynamics365
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How to Make Small Language Models Work. Yejin Choi Presents at Data + AI Summit 2024
Speaker: Yejin Choi, Professor and MacArthur Fellow at the University of Washington, and Senior Research Director for Commonsense AI at AI2
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The Rise of Small Language Models to Cut AI Costs
For years, the likes of Google and OpenAI have been racing to build ever bigger and costlier AI models using a tremendous amount of online data - think chatbots like ChatGPT, which can handle a wide range of complex queries. But some startups are now betting on a different strategy: small language models, automating a more limited set of day-to-day corporate tasks without requiring as much data. Bloomberg's Rachel Metz joins Ed Ludlow to discuss on "Bloomberg Technology." -------- Like this video? Subscribe to Bloomberg Technology on YouTube: https://www.youtube.com/channel/UCrM7B7SL_g1edFOnmj-SDKg Watch the latest full episodes of "Bloomberg Technology" with Caroline Hyde and Ed Ludlow here: https://www.youtube.com/playlist?list=PLfAX25ZLrPGTygCwn55voYZ_LYyKjxokJ Get the latest in tech from Silicon Valley and around the world here: https://www.bloomberg.com/technology Connect with us on... X: https://twitter.com/technology Facebook: https://www.facebook.com/BloombergTechnology Instagram: https://www.instagram.com/bloombergbusiness/ Follow Ed Ludlow on X here: https://twitter.com/EdLudlow Follow Caroline Hyde on X here: https://twitter.com/CarolineHydeTV Listen to the daily Bloomberg Technology podcast here: https://www.bloomberg.com/podcasts/series/bloomberg-technology More from Bloomberg Business Connect with us on... X: https://twitter.com/business Facebook: https://www.facebook.com/bloombergbusiness Instagram: https://www.instagram.com/bloombergbusiness/ LinkedIn: https://www.linkedin.com/company/bloomberg-news/ TikTok: https://www.tiktok.com/@bloombergbusiness
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