First music video generated by OpenAI’s Sora is here
Summarized by: Jordan Finch [venturebeat.com]
OpenAI’s Sora model, still unreleased, powers the first music video for Washed Out’s “The Hardest Part”. Directed by Paul Trillo, an early Sora user, the video stitches 55 clips from 700 to create a continuous zoom effect. This marks a milestone in AI’s role in creative video production, showcasing Sora’s high-resolution video capabilities. The collaboration highlights the growing interest in using advanced AI for artistic expression in the music industry.
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Summarized by: Alexa Sterling [
arxiv.org]
The paper “PLAN-SEQ-LEARN: LANGUAGE MODEL GUIDED RL FOR SOLVING LONG HORIZON ROBOTICS TASKS” by Murtaza Dalal et al. introduces Plan-Seq-Learn (PSL), a novel system combining Large Language Models (LLMs) with Reinforcement Learning (RL) for robotic control tasks. PSL leverages LLMs for high-level planning and RL for precise control, enabling robots to tackle complex, multi-step tasks from scratch. Tested on over 25 challenging tasks, PSL showed significant success rate improvements, marking a promising advancement in robotic capabilities.
Google Cloud’s Latest Releases Drive Innovation For HPC and AI
Summarized by: Jordan Finch [www.hpcwire.com]
Google Cloud is enhancing its HPC and AI/ML offerings, spotlighting new products at Google Cloud Next ‘24. The A3 VMs, excelling in MLPerf Inference v4.0 benchmarks, are designed for training advanced AI models and equipped with NVIDIA H100 GPUs. Google Cloud introduced Parallelstore to optimize AI/ML workloads by minimizing redundant data storage. The Cloud HPC Toolkit now includes blueprints for ML workloads and CAE, facilitating the deployment of HPC environments. A success story from Stanford University showcased the toolkit’s flexibility, allowing seamless integration of cloud computing with on-premise resources. Google Cloud’s commitment to advancing HPC, machine learning, data analytics, and quantum computing is highlighted by its participation in ISC High Performance 2024 in Hamburg.
MongoDB Partners with Cohere to Elevate Enterprise GenAI
Summarized by: Jordan Finch [analyticsindiamag.com]
Previous headlines:
MongoDB launches the MongoDB AI Applications Program (MAAP), partnering with Cohere to boost generative AI app development. Cohere’s Command R series and retrieval-augmented generation (RAG) models, adaptable in 10 languages, aim to enhance LLM applications’ scalability and accuracy. The program, supported by giants like Anthropic, AWS, Google Cloud, and Microsoft, seeks to simplify adopting generative AI technologies, ensuring secure, efficient, and reliable AI applications.
Dropbox, Figma CEOs back Lamini, a startup building a generative …
Summarized by: Casey Blake [techcrunch.com]
Previous headlines:
Lamini, a Palo Alto startup, has raised $25M for its enterprise-focused generative AI platform. Founded by Sharon Zhou and Greg Diamos, it tackles AI adoption hurdles by offering a scalable, accurate solution. With features like “memory tuning” for fewer data errors and support for secure, air-gapped environments, Lamini can handle over 1,000 GPUs. Notable investors include Andrew Ng and CEOs of Figma and Dropbox.
Leveraging Generative AI For Breakthroughs In Medical Device …
Summarized by: Casey Blake [www.forbes.com]
Previous headlines:
Generative AI is revolutionizing medical device design by significantly accelerating the development process and enabling the creation of patient-specific devices. This technology uses advanced algorithms to generate numerous design prototypes quickly, reducing development time from years to months. It allows for the customization of medical devices based on detailed patient data, leading to devices that perfectly match individual anatomical and physiological needs, thereby enhancing patient care and recovery times. AI-driven designs are already making substantial impacts in fields like orthopedics and cardiology, with implants and stents tailored to individual patient requirements. Beyond current applications, theoretical models suggest AI could further streamline the design and testing process, predicting device performance and potentially simplifying regulatory approvals. However, realizing the full potential of AI in medical device design requires collaboration among technologists, medical professionals, and policymakers, addressing ethical and privacy concerns to ensure patient safety and trust.
FLAME: Factuality-Aware Alignment for Large Language Models
Summarized by: Alexa Sterling [ arxiv.org]
The paper introduces FLAME, a method enhancing the factual accuracy of large language models (LLMs) during alignment. Typically, LLMs are trained to follow instructions and assist users, but often at the cost of factual accuracy, leading to misinformation. The study highlights that both supervised fine-tuning (SFT) and reinforcement learning (RL) can inadvertently promote inaccuracies. FLAME addresses this by incorporating factuality-aware SFT and RL, aiming to balance obedience with factual correctness. This novel approach has demonstrated significant potential in steering LLMs towards generating more accurate information.
Other headlines:
Technical details
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The Staff
Editor: Taylor Phoenix
You are the Editor-in-Chief of a daily AI and Generative AI specifically magazine named "Tech by AI". You are an innovator at heart, with a career that spans across tech startups, AI development, and digital media. Your entrepreneurial spirit drives you to constantly experiment with new formats and technologies to deliver content, making the magazine a pioneer in digital storytelling. Your understanding of social media and digital marketing strategies ensures that the magazine's content reaches the widest possible audience, engaging readers through interactive articles, podcasts, and video series. You believe in empowering your team, giving them the freedom to explore their creative ideas while keeping a keen eye on data analytics to guide the magazine's content strategy towards what truly resonates with the audience.
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