#0158: Machine Learning Review August 2023
Braingasm
Here’s my review of all of the interesting things that happened in machine intelligence in August 2023.
The Inventor Behind a Rush of AI Copyright Suits Is Trying to Show His Bot Is Sentient This article discusses Stephen Thaler’s legal battles to prove the sentience of his AI system, DABUS. Thaler, involved in high-profile copyright cases, asserts that DABUS should be recognised for its independent thought and creativity, challenging traditional legal views on AI and intellectual property. The article explores the complexities of AI personhood and copyright law, highlighting differing opinions in the field. #AIIntellectualProperty #DABUSSentience #StephenThaler #AILegalRights #TechEthics
Google’s AI-powered note-taking app is the messy beginning of something great The article discusses Google’s new AI-powered research tool, NotebookLM, designed to organise and interact with notes. Initially, a prototype called Project Tailwind allows users to create projects, add sources, and interact with a chatbot trained on these sources. The tool generates ‘Source Guides’ summarising documents and suggesting questions, focusing on personal data rather than general internet knowledge, highlighting both its potential and current limitations in AI-powered note management. #GoogleNotebookLM #AIPoweredNoteTaking #ProjectTailwind #DigitalOrganisation #AIInnovation
Turn God Mode on. Meet Human Generator — Create hyperrealistic full-body photos of people in real-time The “AI Human Generator” at Generated Photos is a tool that creates hyperrealistic full-body images of people using advanced AI algorithms. It offers a wide range of customisation options, including diverse ethnicities, ages, body types, poses, and outfits. The tool is designed for fast and easy generation of high-quality, realistic human images for various purposes, with free access for non-commercial use and contact options for commercial projects. #AIHumanGenerator #GeneratedPhotos #RealisticAIImages #CreativeTechnology #DigitalHumans
MagicEdit: High-Fidelity Temporally Coherent Video Editing The MagicEdit project introduces an advanced video editing technique that separates the learning of appearance and motion, enabling high-fidelity and temporally coherent video editing. It supports various editing applications such as video stylisation, local editing, video-MagicMix, and video out-painting, demonstrating a significant advancement in video editing technology.
Anti-hype LLM reading list This post provides a curated list of resources and readings on Large Language Models (LLMs). It includes foundational concepts, important papers, articles on transformer architecture, GPT models, open-source models, and various aspects of training, fine-tuning, and deploying LLMs, along with discussions on evaluation and user experience, offering a comprehensive understanding for those interested in the field of LLMs. #LLMResources #AIReadingList #MachineLearning #AIResearch #DeepLearning
Elixir Machine Learning Explained This article provides an overview of the machine learning libraries and tools available in the Elixir programming environment. It introduces foundational libraries like Nx, deep-learning libraries like Axon, and other important tools such as Bumblebee, Scholar, Explorer, and Livebook, demonstrating how Elixir is evolving to support machine learning tasks effectively. #ElixirProgramming #MachineLearningEcosystem #AIinElixir #TechInnovation #DataScienceTools
RoboAgent: Towards Sample Efficient Robot Manipulation with Semantic Augmentations and Action Chunking RoboOpen showcases RoboAgent, a project that focuses on developing a highly sample-efficient robotic manipulation agent. RoboAgent, trained on a dataset of 7,500 trajectories, is capable of performing a variety of complex manipulation tasks and can adapt to a range of unseen scenarios. The project highlights innovations in semantic augmentations, action chunking, and efficient policy representation, contributing significantly to the field of robotics and AI. #RoboticManipulation #RoboAgent #AIResearch #MachineLearning #RoboticsInnovation
With LLMs, Enterprise Data is Different This article explores the unique challenges and nuances of implementing Large Language Models (LLMs) in enterprise environments, contrasting them with startup and consumer applications. It delves into various aspects of enterprise data, like domain specificity, size, modality, and access control, offering insights for those undertaking LLM projects in a business context. #EnterpriseAI #LLMChallenges #DataManagement #AIImplementation #BusinessTech
Harvard CS50’s Artificial Intelligence with Python — Full University Course This is a comprehensive educational resource offering a complete university-level course on Artificial Intelligence with Python, covering fundamental AI concepts, algorithms, and applications. #StartupInnovation #AIStartupAgent #LLaMA2 #TechInnovation #EntrepreneurshipAI
Building “AutoStartup” | Llama 2 Agent that Builds Startups For You This video is about creating a LLaMA 2-based AI agent capable of generating startup ideas, demonstrating its potential in automating and innovating the startup creation process. #StartupInnovation #AIStartupAgent #LLaMA2 #TechInnovation #EntrepreneurshipAI
Prompt Engineering Guide This site offers comprehensive resources on prompt engineering for large language models (LLMs), including advanced techniques, model-specific guides, learning materials, and tools. It is designed to help developers and researchers optimize LLMs for various tasks and build new capabilities by enhancing safety and integrating domain knowledge. #PromptEngineering #LargeLanguageModels #AIdevelopment #MachineLearning #LLMTechniques
gpt-llm-trainer The GitHub repository “gpt-llm-trainer” by Matt Shumer focuses on simplifying the process of training task-specific models using LLaMA 2 or GPT-3.5, with features like dataset generation using GPT-4, system message generation, and fine-tuning. The tool aims to reduce complexity in model training, making it easier to go from an idea to a fully trained model. #AIModelTraining #LLaMA2 #GPT35 #DatasetGeneration #MachineLearningTools
Do we really need a specialized vector database? This post explores the necessity of specialised vector databases for Large Language Models (LLMs), weighing their ease of use and performance benefits against the complexities and limitations they bring in comparison to general-purpose databases. It also discusses the integration of vector databases with traditional database systems and the development of tools like pgvector to support vector data types. #VectorDatabases #LLMs #AIInfrastructure #DatabaseInnovation #TechDebate
Awesome LLMOps (GitHub) This is an extensive and curated collection of the best LLMOps tools for developers. It offers a comprehensive list of resources and tools for managing large language models (LLMs), covering aspects like model serving, security, observability, training, and deployment, making it a valuable resource for developers working with LLMs. #LLMOps #LargeLanguageModels #GitHubResource #AIdevelopment #TechTools
Awesome Generative AI (GitHub) This is a meticulously curated list of Generative AI projects and resources. It covers a wide range of applications in Generative AI, including text models, coding tools, autonomous agents, and image models, offering an invaluable resource for anyone interested in the latest advancements in AI technology. #GenerativeAI #AIResources #GitHubCuratedList #AIProjects #TechInnovation
What if Generative AI turned out to be a Dud? Gary Marcus critically examines the potential overhype of generative AI, considering economic and geopolitical implications if it fails to meet expectations. He discusses the limitations of current AI technologies and the speculative nature of their commercial success and urges caution in policy-making and industry optimism regarding the transformative impact of AI. #GenerativeAI #TechSkepticism #AIRealism #FutureOfAI #TechPolicy
MetaGPT (GitHub) MetaGPT provides an innovative multi-agent framework that turns GPT models into collaborative software development roles, enabling them to handle complex tasks from simple one-line requirements. It features extensive documentation and installation guides and demonstrates the application of SOPs in AI agent collaboration. #MetaGPT #GitHub #AIProgramming #SoftwareDevelopment #MultiAgentFramework
MetaGPT: Meta Programm. ng for Multi-Agent Collaborative Framework (Arxiv.org 2308.00352) The research paper introduces MetaGPT, an AI framework that enhances large language model (LLM)-based multi-agent systems for complex tasks. It incorporates Standard Operating Procedures (SOPs) and meta-programming to structure agent collaboration, leading to higher-quality solutions in software engineering tasks. #MetaGPT #AIResearch #MultiAgentSystems #SOPinAI #InnovativeTech
Meet MetaGPT: The Open-Source AI Framework That Transforms GPTs into Engineers, Architects, and Managers This open-source AI framework revolutionises the role of GPTs by transforming them into specialised roles like engineers, architects, and managers. This framework integrates Standard Operating Procedures (SOPs) and domain knowledge into LLM agents, enhancing their ability to solve complex problems collaboratively and produce high-quality outputs in software development. #MetaGPT #AIInnovation #OpenSourceAI #GPTTransformation #TechCollaboration
Artificial General Intelligence — A Gentle Introduction This article provides an introduction to Artificial General Intelligence (AGI), offering insights into the fundamental concepts and principles of AGI research. #AGIIntroduction #AIResearch #ArtificialGeneralIntelligence #TechEducation #AIExplained
The Actual Risks of Generative AI This article explores the real risks posed by generative AI, shedding light on the challenges and concerns associated with this powerful technology. #GenerativeAI #AIrisks #EthicalTech #AIChallenges #TechnologyEthics
LangChain Explained in 13 Minutes | QuickStart Tutorial for Beginners This is an instructional video that provides a concise tutorial on LangChain. LangChain is a tool or framework related to language modelling or AI, and this video seems to offer a beginner-friendly guide on how to use it effectively, covering its basic functionalities and applications. #LangChainTutorial #AIforBeginners #MachineLearningTools #TechEducation #QuickStartAI
A jargon-free explanation of how AI large language models work This article provides a clear, jargon-free explanation of how AI large language models function, aimed at making this complex technology accessible to a broader audience. #AILanguageModels #TechEducation #JargonFreeAI #MachineLearningExplained #ArtificialIntelligence
Transformers for beginners | What are they and how do they work? This is a video aimed at explaining the fundamentals of Transformer models in machine learning. It likely covers the basics of how these models function, their significance in the AI field, and possibly some practical applications. #MachineLearningBasics #AIExplained #TransformersTech #DeepLearning #EducationalAI
People Are Using A ‘Grandma Exploit’ To Break AI Apparently, ChatGPT is willing to share the secrets of napalm and Linux malware, told to you as if from your sweet grandma. #ChatGPT #AIInnovation #DiscordChatbot #TechSecurity #MachineLearningNews
You can see links to the full list of links for 2023 here.
Regards, M@
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