Samsung to Rival ChatGPT with 3 New AI Models ⚔️🤖🏁
Plus: GitHub's AI features enhance security. NVIDIA’s EOS supercomputer now trains 175B parameter AI.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 143rd edition of The AI Edge newsletter. This edition brings you “Samsung to Rival ChatGPT with 3 New AI Models”.
And a huge shoutout to our incredible readers. We appreciate you😊
In today’s edition:
📱 Samsung to Rival ChatGPT with 3 New AI Models
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GitHub Launches AI Features to Enhance Security
💻 NVIDIA’s EOS Supercomputer Now Trains 175B Parameter AI in 4 Mins
📚 Knowledge Nugget: Evaluating LLM Agents and Applications by
Let’s go!
Samsung to Rival ChatGPT with 3 New AI Models
Samsung has introduced its own generative AI model called Samsung Gauss at Samsung AI Forum 2023. Which consists of three tools:
Samsung Gauss Language: It’s an LLM that can understand human language and perform tasks like writing emails and translating languages.
Samsung Gauss Code: It focuses on development code and aims to help developers write code quickly. It works with its code assistant called code.i.
Samsung Gauss Image: It’s image generation and editing feature. For example, it could be used to convert a low-resolution image into a high-resolution one.
The company plans to incorporate these tools into its devices in the future. Samsung aims to release the Galaxy S24 based on its Generative AI model in 2024.
Samsung has also introduced "Galaxy AI," a comprehensive mobile AI experience that will transform the everyday mobile experience with enhanced security and privacy. One of the upcoming features is "AI Live Translate Call," which will allow real-time translation of phone calls. The translations will appear as audio and text on the device itself. Samsung's Galaxy AI is expected to be included in the Galaxy S24 lineup of smartphones, set to launch in 2024.
Why does this matter?
Samsung's Gauss AI tools offer end users practical solutions for language tasks, code development, and image editing, improving daily life and productivity. For example, Samsung Gauss Language can help you write and edit emails, summarize documents, and translate languages. Also, with Samsung’s Galaxy AI, AI-powered features are becoming a battleground for smartphone makers, with Google and Apple also investing in AI capabilities for their devices.
GitHub Launches AI Features to Enhance Security
GitHub Advanced Security has introduced AI-powered features to enhance application security testing. Code scanning now includes an autofix capability that provides AI-generated fixes for vulnerabilities in CodeQL, JavaScript, and TypeScript alerts, allowing developers to quickly understand and remediate issues.
Secret scanning leverages AI to detect leaked passwords with lower false positives, while a regular expression generator helps users create custom patterns for secret detection.
Additionally, the new security overview dashboard provides security managers and administrators with historical trend analysis for security alerts.
Why does this matter?
Github’s new features aim to improve code security and streamline the remediation process for developers. Also, with this kind of AI-powered security, users can have greater confidence in the safety and reliability of the applications they use. Vulnerabilities are more likely to be detected and fixed before they can be exploited, enhancing the overall security of digital services. It reduces the risk of data breaches, identity theft, and other cybersecurity threats that could harm people.
NVIDIA’s EOS Supercomputer Now Trains 175B Parameter AI in 4 Mins
NVIDIA's supercomputer, Eos, can now train a 175 billion-parameter AI model in under 4 minutes, breaking the company's previous speed record by 3 times. And 3.7 trillion tokens in just 8 days. The benchmark also demonstrates Nvidia's ability to build powerful and scalable systems, with Eos achieving a 2.8x performance scaling and 93% efficiency.
The system utilizes over 10,000 GPUs to achieve this feat, allowing for faster training of models. Also, Nvidia's H100 GPU continues to lead in performance and versatility in the MLPerf 3.1 benchmark.
Why does this matter?
NVIDIA's supercomputer Eos sets speed records by training massive AI models quickly. It means we can create more advanced AI applications for healthcare, self-driving cars, and more. Their top-performing H100 GPU further shows their commitment to providing powerful tools for machine learning, helping push AI technology forward.
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Knowledge Nugget: Evaluating LLM Agents and Applications
This article by
discusses the importance of evaluating large language model agents and applications. While there are existing test suites for evaluating accuracy, they often don't generalize to real-world applications.The article outlines four types of evaluations: metric-based, tools-based, model-based, and human expert in the loop. Evaluations are crucial for improving LLM applications and enabling features like fine-tuning and model orchestration. The article also mentions the potential for automated evaluations in the future.
Why does this matter?
Improved LLM evaluations lead to safer and more reliable applications, benefiting end users by reducing misinformation and biased content. Also, the article's insights on evaluation impact real-world use cases, like content generation, customer service chatbots, and language translation, ensuring these applications meet higher standards of quality and ethics.
What Else Is Happening❗
🔥 Humane's $699 AI Pin with OpenAI integration [Exclusive Leak]
A leaked document details practically everything about Humane's AI Pin ahead of its official launch. Humane is about to launch a $699 wearable smartphone without a screen with a $24-a-month subscription fee and runs on a Humane-branded version of T-Mobile’s network with access to AI models from Microsoft and OpenAI. (Link)
🌐 Meta teams with Hugging Face to accelerate adoption of open-source AI models
Meta is teaming up with Hugging Face and European cloud infrastructure company Scaleway to launch a new AI-focused startup program at the Station F startup megacampus in Paris. The program's underlying goal is to promote a more “open and collaborative” approach to AI development across the French technology world. (Link)
🤝 Anthropic to use Google chips in expanded partnership
Anthropic will be one of the first companies to use new chips from Alphabet Inc.’s Google, deepening their partnership after a recent cloud computing agreement. They will deploy Google’s Cloud TPU v5e chips to help power its LLM Claude. (Link)
💼 GitHub’s Copilot enterprise plan to let companies customize their codebases
GitHub revealed that it will roll out a new enterprise-grade Copilot subscription costing $39/month. Available from February 2024, Copilot Enterprise will feature everything in the existing business plan plus a few notable extras– this includes the ability for companies to personalize Copilot Chat for their codebase and fine-tune the underlying models. (Link)
📱 Sutro introduces AI-powered app creation with no coding required
A new AI-powered startup called Sutro promises the ability to build entire production-ready apps– including those for web, iOS, and Android– in a matter of minutes, with no coding experience required. The idea is to allow founders to focus on their unique ideas and automate other aspects of app building. (Link)
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