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Elon Musk Launches New AI Company, X.AI, to Take on OpenAI

Elon Musk, the founder of Tesla and SpaceX, has quietly started a new AI company called X.AI to challenge OpenAI. The company will focus on developing advanced AI technologies across various domains, ...

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Emergent Autonomous Scientific Research Capabilities of Large Language Models

Transformer-based large language models are gaining a foothold in the field of machine learning research, with a plethora of applications in natural language processing, biology, chemistry, and comput...

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Marvin: A Batteries-Included Library for Building AI-Powered Software

Meet Marvin: a batteries-included library for building AI-powered software that introduces AI Functions and flexible bots. With AI functions, developers dont have to write complex code for tasks like ...

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Meditations On Moloch by Slate Star Codex

In this blog post, Scott Alexander reflects on Allen Ginsbergs famous poem Moloch, exploring the meaning and implications of this entity in modern society. He examines Molochs role in perpetuating hum...

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MicroGPT: An Autonomous Agent Compatible with GPT-3.5-Turbo and GPT-4

MicroGPT is a simple and effective autonomous agent compatible with GPT-3.5-Turbo and GPT-4. The installation process involves cloning the repository, installing necessary Python packages, and configu...

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AI-Powered Task Management System using OpenAI and Pinecone APIs

This Python script demonstrates an AI-based task management system that utilizes OpenAI and Pinecone APIs to create, prioritize, and execute tasks. The script runs an infinite loop by pulling tasks fr...

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Batch computing and the coming age of AI systems

Batch computing, the process of processing large amounts of data without human interaction, could be revolutionized by the use of foundation models. While current human-in-the-loop systems are already...

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Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications - Yohei Nakajima

In this research, a task-driven autonomous agent is proposed that leverages OpenAIs GPT-4 language model, Pinecone vector search, and the LangChain framework to perform various tasks within different ...

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Databerry - Connect Your Data to Large Language Models

Databerry provides a user-friendly solution to quickly setup a semantic search system over your personal data without any technical knowledge. Load data from various sources such as raw text, web page...

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Hype grows over “autonomous” AI agents that loop GPT-4 outputs

Since the launch of OpenAIs GPT-4 API last month to beta testers, developers have been experimenting with making agent-like implementations of the AI model that attempt to carry out multistep tasks wi...

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DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents

In this work, we present dialog-enabled resolving agents (DERA) which is a paradigm that provides a simple, interpretable forum for models to communicate feedback and iteratively improve output with t...

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Reflexion: an autonomous agent with dynamic memory and self-reflection

Recent advancements in decision-making large language model (LLM) agents have demonstrated impressive performance across various benchmarks. However, these state-of-the-art approaches typically necess...

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Max Tegmark: The Case for Halting AI Development | Lex Fridman Podcast #371

Max Tegmark: The Case for Halting AI Development | Lex Fridman Podcast #371

MIT physicist and AI researcher Max Tegmark, a key figure in the call for a six-month pause on giant AI experiments, returns to the Lex Friedman podcast. Tegmark discusses his belief that we are likel...

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Amazon CodeWhisperer, Free for Individual Use, is Now Generally Available

Amazon CodeWhisperer, a real-time AI coding companion, is now generally available and includes a CodeWhisperer Individual tier that is free to use for all developers. The tool keeps developers product...

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Teaching Large Language Models to Self-Debug

Large language models have achieved impressive performance on code generation, but generating correct code with a single attempt is challenging. To address this problem, the authors propose SELF-DEBUG...

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Build your own ChatGPT in .NET with Semantic Kernel 🚀

Build your own ChatGPT in .NET with Semantic Kernel 🚀

The popularity of chat GPT, which has signed up 100 million users in just two months, has led to an increase in startups utilizing the underlying large language models (LLMs) that power the technology...

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HuggingGPT - a Hugging Face Space by Microsoft

HuggingGPT is a space created by Microsoft under the Hugging Face umbrella, offering access to a range of models, datasets, and solutions. The space supports file sharing and has a vibrant community o...

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Our Approach to AI Safety: Ensuring Safe and Beneficial Use of Powerful AI Systems

OpenAI is committed to building and deploying powerful AI systems safely and responsibly. We understand that AI tools come with real risks, which is why we conduct rigorous testing and engage with ext...

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Welcome to LangChain - LangChain 0.0.133

LangChain is a powerful platform for developing and integrating natural language models, chat models, prompt templates, vector stores, and much more. Get started with our quickstart guide, and explore...

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Neural Networks: Zero To Hero

This course by Andrej Karpathy is a step-by-step guide to building neural networks from scratch, starting with backpropagation and building up to modern deep neural networks like GPT. The focus is on ...

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