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?? Now Live: Generative AI for Software Development! Imagine having an AI assistant that not only helps you write code but also helps you debug, optimize, and document your work. With the launch of this skill certificate, you’ll gain hands-on experience in doing just that. This three-course series provides an in-depth exploration of AI applications throughout the software development lifecycle, encompassing design, architecture, coding, testing, deployment, and maintenance. You’ll learn to use LLMs as thought partners, pair programmers, and performance optimization advisors. Highlights include: ?? Prompt Engineering: Learn how to prompt an LLM to generate and refine code across multiple languages. ?? Iterative Improvement: Sharpen your techniques for iterative code enhancement with AI assistance. ?? AI-Powered Debugging: Get insights into debugging with AI to enhance your code's efficiency and security. AI isn’t just a tool—it’s a partner in your development path. Start collaborating with AI today: https://hubs.la/Q02R4-Nb0

Thank you Andrew Ng for joining us at Meta's Connect event for a fireside chat. We discussed many exciting things - the benefits of open source software, Llama’s 3.2 launch and advantage, mitigating risks around LLM hallucination, Llama 1B and 3B models, and its positive impact on the Gen AI ecosystem! We also announced the launch of a new Llama course on DeepLearning.AI - “Introducing Llama 3.2”. It is available for early sign-up and will be available on Oct 9th! Stay tuned. ?? ?? Sign-up here ?? https://lnkd.in/g8PdqBNn AI at Meta DeepLearning.AI

Learn about tokenization and vector search optimization for large-scale customer-facing RAG applications in our new short course, Retrieval Optimization: From Tokenization to Vector Quantization. In this course, created in collaboration with Qdrant and taught by Kacper ?ukawski, you will explore the technical details of how vector search works and learn techniques to optimize it for better performance. Gain practical knowledge in: ?? Techniques like Byte-Pair Encoding, WordPiece, and Unigram. ?? Measuring and improving search quality across various metrics. ?? Optimizing vector search parameters in HNSW algorithms. ?? Exploring quantization methods—product, scalar, and binary—and their impact on memory, speed, and search quality. Elevate your RAG applications with these essential skills. Enroll for free! https://hubs.la/Q02RRxkK0

Researchers at Google developed a robot capable of playing table tennis, beating beginner-level human players and impressing experts. The robot uses a control system that breaks down gameplay into individual skills, allowing it to return serves, adjust for ball spin, and target specific spots on the table. The robot was tested against 29 players, winning all matches against beginners, most against intermediate players, but none against advanced players. Read our summary of the paper in #TheBatch: https://hubs.la/Q02RLSXX0

Twice a week, Data Points brings you the latest AI news, tools, models, and research in brief. In today’s edition, you’ll find: ?? Hacking ChatGPT’s long-term memory function ?? U.S. trade commission targets companies who lie about AI ?? A new OpenAI model for screening text and images ?? Apple, Meta, and others hold off on AI Pact Read Data Points now: https://hubs.la/Q02RLRqK0

In modern software development, managing dependencies and ensuring security are crucial. The Generative AI for Software Development skill certificate teaches you how to integrate AI into your CI/CD pipeline, automatically flagging risky dependencies and suggesting safer alternatives. Stay ahead of potential security threats with AI-assisted tools. Enroll now: https://hubs.la/Q02RJPHg0

Lionsgate, the studio behind major film franchises like The Hunger Games and John Wick, partnered with AI startup Runway to develop a custom video generator tailored to its production needs. Runway's video model will be fine-tuned using Lionsgate's previous works. This collaboration will enable Lionsgate to streamline both pre- and post-production processes, potentially saving millions of dollars. Separately, Runway announced a new API for its Gen-3 Alpha Turbo model, allowing developers to incorporate its models’ output in their applications. Learn more in #TheBatch: https://hubs.la/Q02RGH-90

Followers of DeepLearning.AI might not know that our weekly publication, The Batch, has the most subscribers of any AI newsletter in the world. They love its perspective and its personality. Now The Batch has a sister publication, Data Points, to keep you on top of the latest AI news, models, tools, and research. We publish twice a week, with six new stories in each issue. It’s for students, developers, business leaders, and casual readers looking to keep track of what’s happening in a way that’s fast and accessible, right in your inbox. Unlike other AI newsletters, we don’t have ads or come-ons, just a sincere interest in the tech that’s changing the world. It’s shorter and easier to read, but offers the same trust you’ve come to place in The Batch and DeepLearning.AI founder Andrew Ng. Read our latest issues and sign up here: https://hubs.la/Q02RzJMR0

Alibaba announced a large family of Qwen 2.5 models available in various sizes, including specialized versions for coding and math. They boast up to 72 billion parameters and can process up to 128,000 input tokens. Pretrained on massive datasets, they outperform competitors on multiple benchmarks. Many of these models are freely available for commercial use under the Apache 2.0 license; others are free but come with restrictions. Learn more in #TheBatch: https://hubs.la/Q02RplQ70

On October 9, join Andrew Ng and Mehran Sahami for a discussion on how AI is revolutionizing coding and education. Learn more and sign up ??