Query Planning using Open Source LLMs and Function Calling
Author(s): Vatsal Saglani Originally published on Towards AI. Image from ChatGPT The past year I’ve had a lot of hands-on experience working with the GPT models via the API. I developed multiple applications for various use cases and had a great time …
This AI newsletter is all you need #80
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie After a year of near-weekly significant model releases and AI progress in terms of capabilities and adoption, the year finished with a focus on …
Run Mixtral 8x7b on Google Colab Free
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A clever trick allows offloading some layers Hello, wonderful people! 2023 is almost over. But it seems like the development in LLMs has no breather. Today, we will see how Mixtral …
Mirror, Mirror: A ‘Self Aware’ AI Robot Just Recognized Itself
Author(s): David Leibowitz Originally published on Towards AI. But What Does That Actually Mean?AI sees its reflection in the mirror, credit: David Leibowitz via DALL-E “Hey Rob, let’s test your vision,” said the man standing slightly off-camera in the TikTok video. Wearing …
ReST meets ReACT: improving ReAct with Self-Critique, AI Feedback, and Synthetic Data Generation.
Author(s): Eduardo Muñoz Originally published on Towards AI. A brief description of this adaptation of Reinforced Self-Training (ReST) to an agentic configuration. Picture by Aaron Burden from Unsplash This article describes a very interesting and inspiring proposal to improve a ReAct agent …
In-depth Understanding of DBSCAN Clustering Machine Learning Algorithm with Python
Author(s): Amit Chauhan Originally published on Towards AI. Segmentation algorithm based on machine learning approachThe output clusters of DBSCAN. An image by the Author In this article, the DBSCAN algorithm creates clusters in more easier way than K-Means or Hierarchical clustering algorithms. …
This AI newsletter is all you need #79
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI, we were excited to see the release of the latest generation of the Midjourney model. The MidJourney V6 features enhanced …
All AI Advancements of 2023
Author(s): Louis Bouchard Originally published on Towards AI. A recap of the research progress and important news in AI in 2023! What a year it was! A lot happened in the big tech as well as the research community in AI. OpenAI …
Why Your Approach to AI Job Applications is Flawed
Author(s): Boris Meinardus Originally published on Towards AI. How to apply to AI jobs the uncommon way. So, I got a DeepMind internship interview but I didn’t apply the standard way. I spent months applying to different listings and getting rejected over …
Macabre Intelligence: AI Can Now Predict Your Death
Author(s): Chandrayan Gupta Originally published on Towards AI. Danish and American researchers have created an algorithm that can predict with unsettling accuracy when you will diePhoto by Rootnot Studio on Unsplash Humans have always been fascinated with death. Where there is life, …
Running the Eigen GPU Tests
Author(s): Luiz doleron Originally published on Towards AI. Today, GPUs are critical to perform fast computations, in particular, for artificial intelligence applications. Testing your code on the GPU is also critical, but usually, it is put aside because of the intrinsic complexity. …
Reinforcement Learning: Multi-Agent Cooperation with MADQN— Part 5
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Multi-agent reinforcement learning with 3 MADQN frameworks on the ma-gym’s “Switch4” environmentImage by Nik Korba on Unsplash With the introduction of Function Approximation methods in Part 4, we are ready to solve Reinforcement …
Microsoft PHI-2 + Huggine Face + Langchain = Super Tiny Chatbot
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. Today, Microsoft Research released the latest version of the small language model (SLM) Phi-2, which has only 2.7 billion sets of parameters. So, In this Post, we will learn what Microsoft Phi-2 is, …
Antigranular: How to Access Sensitive Datasets Without Looking At Them
Author(s): Bex T. Originally published on Towards AI. and developing privacy-first data projectsImage by me with Leonardo AI Today, open-source data represents the tip of the world’s data iceberg. Most of the world’s data is below the ocean surface because of privacy …
Learn AI Together — Towards AI Community Newsletter #6
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! I’m thrilled to share some exciting updates in this week’s Learn AI Together newsletter. First, we’re launching the RAG for Production with LlamaIndex and LangChain course. This (completely …
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