{"id":13495290,"url":"https://github.com/daveshap/AI_Tools_and_Papers","last_synced_at":"2025-03-28T16:32:25.129Z","repository":{"id":159878034,"uuid":"634906852","full_name":"daveshap/AI_Tools_and_Papers","owner":"daveshap","description":"Some of the coolest AI tools and papers I've found","archived":false,"fork":false,"pushed_at":"2023-07-22T21:54:35.000Z","size":51615,"stargazers_count":263,"open_issues_count":4,"forks_count":26,"subscribers_count":24,"default_branch":"main","last_synced_at":"2024-08-01T19:54:35.082Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/daveshap.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-05-01T14:14:44.000Z","updated_at":"2024-07-29T17:17:15.000Z","dependencies_parsed_at":"2024-01-16T09:12:35.928Z","dependency_job_id":null,"html_url":"https://github.com/daveshap/AI_Tools_and_Papers","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FAI_Tools_and_Papers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FAI_Tools_and_Papers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FAI_Tools_and_Papers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daveshap%2FAI_Tools_and_Papers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/daveshap","download_url":"https://codeload.github.com/daveshap/AI_Tools_and_Papers/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":222395798,"owners_count":16977625,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-31T19:01:33.224Z","updated_at":"2025-03-28T16:32:25.105Z","avatar_url":"https://github.com/daveshap.png","language":null,"funding_links":[],"categories":["Misc"],"sub_categories":[],"readme":"# Dave's Awesome List of AI Tools \u0026 Papers\n\n\u003e Please suggest tools in the Issues or Discussions tab. Do not submit a PR please. \n\n## Other Master Lists\n\nLike, whoa, it's meta. A list of lists! Postmodern AF.\n\n- https://theresanaiforthat.com/ - There's an AI for that: AI Search Engine to Find AI\n- https://coda.io/@alignmentdev/alignmentecosystemdevelopment - Master list of AI alignment communities\n\n## Cloud SaaS Tools\n\nGenerally speaking, these are production-ready services with a professional or enterprise-level of quality and production-grade APIs. They may also just have good web UIs. Point is they are SaaS.\n\n- https://www.pinecone.io/ - Vector DB\n- https://ingestai.io/ \n- https://infranodus.com/ - Vector DB + Knowledge Graph and informatics tooling\n- https://www.adept.ai/\n- https://podcast.adobe.com/enhance - Enhance MP3 audio with Adobe\n- https://firefly.adobe.com/ - Adobe's text-to-image offering\n- https://pipegpt.com/ - Graphical prompt chaining\n\n## Python Modules\n\n- https://www.trychroma.com/ - Local vector DB like SQLITE but for semantic search\n- https://python.langchain.com/en/latest/\n- https://github.com/logspace-ai/langflow\n- https://gpt-index.readthedocs.io/en/latest/\n\n## GitHub Repos\n\nCool experiments and such\n\n- https://github.com/Mattie/cataclysm - Metacoding (aka it figures out the function code just from the name of the function). Psuedocode straight into live code.\n- https://github.com/KernAlan/ChroniclerAI - ChroniclerAI is a desktop application that records, transcribes, and summarizes audio using the OpenAI GPT-3.5-turbo model. The application is built in C# with XAML for the user interface.\n- https://github.com/lightaime/camel - CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society\n- https://github.com/reworkd/AgentGPT - AgentGPT\n- https://github.com/microsoft/TaskMatrix - Microsoft TaskMatrix TaskMatrix connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.\n- https://github.com/DataBassGit/HiAGI - Heuristic Imperative AGI project, inspired by AutoGPT and BabyAGI\n- https://github.com/Significant-Gravitas/Auto-GPT - Original AutoGPT experiment\n- https://github.com/antimatter15/alpaca.cpp - Run a ChatGPT like model locally\n\n\n\n\n## Scientific Papers\n\nExactly what it says on the tin. We will probably subdivide this into ML, alignment, and a few other categories over time\n\n- https://link.springer.com/article/10.1007/s43681-023-00268-7 - Symbiosis, not alignment, as the goal for liberal democracies in the transition to artificial general intelligence\n- https://arxiv.org/abs/2303.11381 - MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action\n- https://arxiv.org/abs/2303.12712 - Sparks of Artificial General Intelligence: Early experiments with GPT-4\n- https://arxiv.org/abs/2303.11366 - Reflexion: an autonomous agent with dynamic memory and self-reflection\n- https://ai.facebook.com/blog/robots-learning-video-simulation-artificial-visual-cortex-vc-1/ - Robots that learn from videos of human activities and simulated interactions\n- https://arxiv.org/abs/2304.11490 - Boosting Theory-of-Mind Performance in Large Language Models via Prompting\n- https://arxiv.org/abs/1901.00064 - Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function)\n- https://arxiv.org/abs/2102.03896 - Consequences of Misaligned AI\n- https://arxiv.org/abs/2306.03809 - LLMs enable untrained scientists to potentially create pandemic-level pathogens\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaveshap%2FAI_Tools_and_Papers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdaveshap%2FAI_Tools_and_Papers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaveshap%2FAI_Tools_and_Papers/lists"}