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October was a big month for AI! Meta’s cooking up amazing video generation, OpenAI’s testing AI performance in the real world, and NotebookLM is making Google’s tech accessible to everyone. Moreover, there’s a fresh State of AI Report showing how the field is leveling up.
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State of AI Report 2024
Key trends include convergence in frontier lab performance, increasing focus on planning and reasoning in LLM research, and the expansion of foundation models into multimodal domains.
NotebookLlama (GitHub Repo)
Meta has introduced a quick start guide to help users create a basic version of Google’s popular NotebookLM system.
How Meta Movie Gen could usher in a new AI-enabled era for content creators
Meta’s new Movie Gen let creators to produce high-quality, customizable videos and audio through simple text prompts. The Movie Gen support various creative needs, from adding sound effects to transforming images into custom video outputs.
OpenAI introduces MLE-bench, open-source benchmark to assess AI performance in real-world ML engineering
OpenAI’s MLE-bench is a benchmark to evaluate AI agents on real-world machine learning engineering tasks, drawing on 75 Kaggle competitions. It assesses skills like dataset preparation, model training, and experiment management, with findings that OpenAI’s o1-preview model reaches bronze-level performance in about 17% of tasks.
Perplexity introduces Internal Knowledge Search for enterprises
Perplexity has launched two tools: Internal Knowledge Search, which lets users search both online and within company files to gather insights, and Spaces, a collaboration hub for organizing information and conducting research. Key users include NVIDIA and Dell, who use these tools to improve productivity by integrating internal and external data sources.
Anthropic publicly releases AI tool that can take over the user’s mouse cursor
A new “computer use” feature, now in beta, enables Claude to interact with computer interfaces directly, simulating human-like navigation. This feature aims to streamline repetitive tasks but remains experimental and requires developer feedback.
AI RFP Response Automation: Leveraging Generative AI for Efficiency
Discover how AI RFP response automation is transforming proposal management by streamlining the RFP process.
Machine Learning pioneers win Nobel Prize
Hopfield and Hinton’s discoveries have been the foundation for many of the recent advances in artificial intelligence. Check it out!
Step-by-Step Guide to Build Data Pipeline
Learn more about the concept of data pipelines in its entirety, from what it is (types and components) to how to build one from scratch.
How to Make an AI Model: A Practical Guide for Enterprises
Find out how enterprises can build effective AI models with this practical guide, covering key steps, tools, & strategies for successful AI implementation.
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