AI/ML

ASCII Smuggling - Crafting Invisible Text and Decoding Hidden Secrets (with LLMs)

Here's a trick I've used a couple of times in the past few days.

Aware uses AI to analyze companies' employee messages across Slack, Microsoft Teams, Zoom and other communications services.

Bard is now known as Gemini, with a mobile app and an Advanced experience that gives you access to our most capable AI model, Ultra 1.0.

Want to use open-source LLM models from Hugging Face on your local development environment? With localllm and Cloud Workstations, you can.

An adversary can hide text in plain sight using the Unicode Tags. Using ASCII Smuggler you can encode and deocde such hidden messages

Hidden Prompt Injections with Anthropic Claude

Contribute to apple/ml-mgie development by creating an account on GitHub.

Apple’s MGIE is a revolutionary AI model that can edit images based on natural language instructions, using multimodal large language models to generate expressive and imaginative edits.

Abacus AI has released "Smaug-72B," a new open-source AI model that outperforms GPT-3.5 and Mistral Medium on the Hugging Face Open LLM leaderboard.

I recorded myself giving the talk I gave at the SF AI tour. Slides: https://speakerdeck.com/pamelafox/vector-search-and-retrieval-for-generative-ai-app-microsoft-ai-tour-sf Demos: https://github.com/pamelafox/vector-search-demos/ https://pamelafox.github.io/vectors-comparison/ https://github.com/Azure-Samples/azure-search-openai-demo/

WebVoyager: Building an End-to-End Web Agent with Large Multimodal ModelsWebVoyager is a new vision-powered web-browsing agent that uses browser screenshots ...

A deep dive into the internals of a small transformer model to learn how it turns self-attention calculations into accurate predictions for the next token.

Last year, 10,000 sham papers had to be retracted by academic journals, but experts think this is just the tip of the iceberg

A series of top performing Text to SQL LLMs. Contribute to cfahlgren1/natural-sql development by creating an account on GitHub.

The 2000-year-old scroll discusses music, food, and how to enjoy life’s pleasures.

Five analytical tasks in under a minute

Look at journalism's future, not its past.

Names of unpublished research papers, presentations, and PHP scripts also leaked.

A brand new era for the RWKV-v5 architecture and linear transformer's has arrived - with the strongest multi-lingual model in open source today

WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI. - GitHub - collabora/WhisperFusion: WhisperFusion builds upon the capabil...

Posted on Friday 26 Jan 2024. 1,297 words, 12 links. By Matt Webb.

Implementing a ChatGPT-like LLM from scratch, step by step - rasbt/LLMs-from-scratch: Implementing a ChatGPT-like LLM from scratch, step by step

Open-source tool to visualise your RAG 🔮. Contribute to gabrielchua/RAGxplorer development by creating an account on GitHub.

I've been trying to get my head around ColBERT .

My LLM tool has a feature where you can set a LLM_OPENAI_SHOW_RESPONSES environment variable to see full debug level details of any HTTP requests it makes to the OpenAI APIs.

Colab 01. Learning LangGraph Agent Executor: https://drp.li/vL1J9 Colab 02. Learning LangGraph - Chat Executor: https://drp.li/HAz3o Colab 03. Learning LangGraph - Agent Supervisor: https://drp.li/xvEwd Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes Github: https://github.com/samwit/langchain-tutorials (updated) https://github.com/samwit/llm-tutorials Time Stamps: 00:00 Intro 00:19 What is LangGraph? 00:26 LangGraph Blog 01:38 StateGraph 02:16 Nodes 02:42 Edges 03:48 Compiling the Graph 05:23 Code Time 05:34 Agent with new create_open_ai 21:37 Chat Executor 27:00 Agent Supervisor

Space-Time Text-to-Video diffusion model by Google Research.

In this video about crewai I've decided to show you: 1. how to build your own team of ai agents that debate and think about your business idea from multiple angles 2. how to give your agents access to real world data like google searches and reddit 3. performance of 15 models in total: 13 local models + 2 through api Promised links: My Github CrewAI Repo: https://github.com/majacinka/crewai-experiments CrewAI: https://github.com/joaomdmoura/crewAI AI agent landscape (as seen on 2:09): https://github.com/e2b-dev/awesome-ai-agents Serper Free Signup: https://serper.dev Andrej's video: https://youtu.be/zjkBMFhNj_g?si=NeN5qsdfOYwOAiEI Gemini Free API Key: https://makersuite.google.com/app LangChain Tools: https://python.langchain.com/docs/integrations/tools Timecodes: 0:00 - 3:17 what is crewai 3:18 - 8:24 startup example 8:28 - 13:48 internet/reddit example 13:49 - 14:27 gemini pro 14:28 - 14:42 price 14:42 - 19:17 local models #crewai #aiagents #localmodels