šŸ§  DeepSeek Launches R1-Lite-Preview

DeepSeek's R1-Lite-Preview Introduces Advanced Reasoning Model, Outperforming OpenAIā€™s o1.

Author

Jack Lajoie
November 21, 2024 ā€¢ read time ~ 9 minutes

The Daily Current āš”ļø

Welcome to the creatives, builders, pioneers, and thought leaders ever driving further into the liminal space.

DeepSeek's R1-Lite-Preview sets a new benchmark in reasoning capabilities (and does it visibly), while Metaā€™s open-sourcing of Llama has truly reshaped its AI strategy. H's debut of Runner H emphasizes the trend towards compact, task-specific AI models. Meanwhile, AI's infusion into robotics is paving the way for more adaptive robots, and OpenAI's enhancements to ChatGPT highlight ongoing improvements in AI creativity and interaction.

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DeepSeek has introduced R1-Lite-Preview, a new large language model focused on reasoning capabilities. Available through DeepSeek Chat, this model demonstrates performance that matches or exceeds OpenAIā€™s o1-preview model on several benchmarks, particularly in areas requiring logical inference and mathematical reasoning. R1-Lite-Preview showcases ā€œchain-of-thoughtā€ reasoning, allowing users to observe its problem-solving process in real-time.

  • The model demonstrates ā€œchain-of-thoughtā€ reasoning, showing users its logical steps.

  • DeepSeek claims the model exceeds OpenAI o1-preview-level performance on benchmarks like AIME and MATH.

  • The model can answer ā€œtrickā€ questions that have stumped other powerful AI models.

  • DeepSeek has published scaling data showing accuracy improvements with increased ā€œthought tokensā€.

  • DeepSeek plans to release open-source versions of its R1 series models and related APIs in the future.

šŸ”¬ The release of R1-Lite-Preview underscores the growing emphasis on explainable AI, as models that can demonstrate their reasoning process become increasingly valuable for complex problem-solving tasks.

Mark Zuckerbergā€™s decision to open-source Metaā€™s Llama AI models has transformed the companyā€™s trajectory in the AI industry. By making Llama freely available for research and commercial use, Meta has positioned itself as a leader in democratizing AI technology. The move has enabled rapid innovation and improvement of the models, with Llama now integrated into many of Metaā€™s core products. This strategy has helped Meta overcome earlier struggles with its metaverse pivot and has placed the company at the forefront of the AI conversation.

  • Meta released Llama 2 as an open-source model in July 2023, following internal debates about risks and benefits.

  • Llama models now power many of Metaā€™s products, including AI assistants across its platforms like Facebook, Instagram, WhatsApp, and Messenger.

  • The company has invested billions in developing Llama, with projected capital expenditures reaching $40 billion for 2024.

  • Open-sourcing Llama has allowed Meta to quickly catch up to competitors like OpenAI and Google in AI capabilities.

  • Metaā€™s strategy has helped attract top AI talent and accelerate innovation on its platform.

šŸ”„ By open-sourcing Llama, Meta is not only catching up in the AI race but also challenging the closed ecosystem model of its competitors, potentially setting a new industry standard for AI development.

H, a Paris-based AI startup that raised $220 million in seed funding, has introduced Runner H, its inaugural product. This ā€œagenticā€ AI solution targets businesses and developers, offering capabilities in quality assurance and process automation. Built on Hā€™s proprietary compact LLM with just 2 billion parameters, Runner H aims to provide efficient AI solutions for tasks like robotic process automation, quality assurance, and business process outsourcing.

  • Runner H is built on a proprietary compact LLM with just 2 billion parameters.

  • Initial focus areas include robotic process automation (RPA), quality assurance, and business process outsourcing.

  • H claims its compact model outperforms competitors like Anthropicā€™s ā€œComputer Useā€ by 29%.

  • The company is offering free API access initially, with plans to introduce a payment model later.

šŸ’” The introduction of Runner H highlights the growing trend of compact, task-specific AI models that prioritize efficiency over sheer size, challenging the notion that bigger is always better in AI development.

AI is transforming robotics by enabling machines to learn complex tasks faster and more efficiently. Recent advances in large language models and computer vision are being applied to create more versatile robots capable of adapting to new environments. While fully autonomous multi-purpose robots for domestic use are still in development, significant progress has been made in areas like dexterous manipulation, task generalization, and human-robot interaction. Researchers are optimistic about AI-powered robots becoming commonplace in various sectors, including manufacturing, healthcare, and home assistance.

  • AI-powered behavior cloning allows robots to learn complex movements within hours instead of weeks, as demonstrated by researchers at the Toyota Research Institute.

  • Diffusion models, originally used for image generation, are now being applied to produce robot actions, enabling machines to learn and apply new tasks in different settings.

  • Recent breakthroughs include robots performing tasks like cooking shrimp, folding clothes, and replacing robot parts, showcasing significant progress in dexterous manipulation.

  • Vision-language models help robots understand and interpret their environment more effectively, improving their ability to interact with surroundings.

  • As of late October 2024, more than $11bn of robotics and drone venture capital deals had been done, surpassing the previous yearā€™s $9.72bn.

šŸ§  The fusion of AI techniques from language and vision models with robotics is accelerating the development of more capable machines, but the scarcity of diverse training data remains a significant hurdle to achieving truly versatile robots.

OpenAI has updated ChatGPTā€™s GPT-4o model, enhancing its creative writing capabilities and allowing it to reclaim the top position in the LLM leaderboard. The upgrade, which was initially tested anonymously, has made ChatGPTā€™s responses more natural, engaging, and tailored to improve relevance and readability.

  • The new version of GPT-4o is better at working with uploaded files and providing deeper insights.

  • OpenAI has recently added features like Advanced Voice to the web and improved DALL-E image generations.

  • The update is described as a ā€œbehind the scenesā€ change rather than a new UI or feature.

šŸ–‹ļø With the level of news we are used to from OpenAI, this feels like a non-story at first, but making ChatGPT better even a little than the amazing-ness it already provides is nonetheless impressive and noteworthy for their expanding body of users.