Building ML Models like Open-Source Software – Colin Raffel | Stanford MLSys #72

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Episode 72 of the Stanford MLSys Seminar “Foundation Models Limited Series”! Speaker: Colin Raffel Title: Building Machine …

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10 11 12 13 14 15 2 3 4 5 6 7 8 9 ai Overview: This tool uses AI to help companies create synthetic data that mirrors real data ai Platform: Tonic allowing them to work with data without privacy concerns allowing users to interact with both text and images and analyzing data and content generation and customer service and interacting with third-party APIs and its Model Hub offers access to thousands of AI models for a variety of tasks and itʼs continually being enhanced with new features and paraphrasing and photorealistic images Anthropic’s Claude Platform: Anthropic Overview: Anthropic’s Claude is an AI assistant series known for its focus on safety and ethical use ChatGPT Plugins & GPT-4 (OpenAI) Platform: OpenAI API Overview: OpenAI has continued to expand its capabilities with the GPT-4 model code execution Cohere Platform: Cohere Overview: Cohere provides a suite of large language models optimized for NLP applications Content creation Copilot helps with summarizing emails DeepL has expanded its capabilities to integrate more natural language processing tasks such as summarization DeepL Platform: DeepL Overview: Known for its superior translation technology document summarization drafting documents enabling more specific use cases in industries like finance excel Google Gemini Platform: Google DeepMind Overview: Gemini is Google’s latest set of models Google has integrated Gemini into its search and enterprise tools healthcare Hugging Face launched several new tools like Accelerate and Inference Endpoints that allow users to deploy models easily Hugging Face Platform: Hugging Face Overview: Hugging Face is known for its open-source libraries illustrations In 2024 including natural language processing and content generation incorporating specialized plugins for tasks like browsing the web it added more powerful features for creating realistic and artistic images from text prompts It helps learners with everything from homework to personalized explanations It integrates into a wide range of coding environments its AI ʼCopilotʼ tools provide advanced automation for productivity tasks Itʼs particularly useful in multilingual communication across various business contexts Itʼs popular among content creators Khan Academy + GPT-4 Platform: Khan Academy Overview: In partnership with OpenAI Khan Academy launched an AI tutor powered by GPT-4 like finance and healthcare LLaMA (Meta) Platform: Meta AI Overview: Meta’s LLaMA (Large Language Model Meta AI) models have been evolving to provide open-source large language models making it a competitor to OpenAIʼs GPT-4 and Claude making it an alternative to OpenAIʼs models making the tool increasingly versatile for creatives in multiple industries Microsoft Copilot Platform: Microsoft 365 and Azure Overview: With Microsoft integrating AI deeply into its suite of tools (Word MidJourney Platform: MidJourney Overview: MidJourney continues to be one of the leading AI-driven image generation tools Mistral AI Platform: Mistral Overview: Mistral specializes in open-weight models that enable high-performance AI applications for both large and small enterprises Mistral’s models are designed to be both flexible and powerful offering intelligent suggestions and bug-fixing tips that help improve developer productivity offering personalized learning experiences for students Outlook) part of its broader AI strategy providing easy access to generate media from text prompts or existing media Runway Gen-2 Platform: Runway Overview: Runway Gen-2 is a creative toolkit that enables video and image generation with AI Stability AI (Stable Diffusion) Platform: Stability AI Overview: Stability AI’s Stable Diffusion models are among the most powerful open-source image-generation tools such as transforming videos or images with AI Tabnine Platform: Tabnine Overview: Tabnine uses AI to assist with code completion and programming The Gemini models include advancements in multimodal capabilities the platform made significant strides in helping businesses leverage language understanding for things like customer support These plugins enhance the versatility of GPT-4 They are built for research and industry applications They’re also branching out into video generation and editing They’ve introduced new versions like Claude 3 This is crucial for industries working with sensitive information Tonic which offer more advanced conversational abilities with a focus on specific verticals like healthcare and e-commerce with specialized modes for generating concept art

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