Logo: 
Areas Served: This AI newsletter is all you need #98
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we were again watching developments in AI-powered robots and LLMs. A collaboration between Nvidia and UPenn released DrEureka, a new open-source model …
Building Private Copilot for Development Teams with Llama3
Author(s): zhaozhiming Originally published on Towards AI. Many developers have likely used GitHub Copilot, a revolutionary development tool that significantly boosts productivity and gradually transforms programming habits. Since Meta released the latest open-source Large Language Model (LLM), Llama3, various development tools and …
Data Science Case Study — Credit Default Prediction: Part 2
Author(s): Saankhya Mondal Originally published on Towards AI. In financial institutions, credit default occurs when a borrower fails to fulfill their debt obligations, leading to a breach of the loan agreement. It represents the risk that a borrower will default on their …
Prompt Engineering Best Practices: LLM Output Validation & Evaluation
Author(s): Youssef Hosni Originally published on Towards AI. Validating Output from Instruction-Tuned LLMs Checking outputs before showing them to users can be important for ensuring the quality, relevance, and safety of the responses provided to them or used in automation flows. In …
Predicting Multiple Tokens at the Same Time: Inside Meta AI’s Technique for Faster and More Optimal LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Can Kolmogorov–Arnold Networks (KAN) beat MLPs?
Author(s): Vishal Rajput Originally published on Towards AI. Lately, it seems that the entire AI community has become about one and one thing only, LLMs. They are cool in their own way, but they are not the entire AI field. In all …
A local YouTube Q&A Engine using Llama.cpp and Microsoft Phi-3-Mini
Author(s): Vatsal Saglani Originally published on Towards AI. The cheapest and easiest way for Video Question AnsweringImage by ChatGPT In my last blog about Microsoft-Phi-3-Mini, I discussed how Small language models (SLMs) like the Phi-3-Mini help with quick experimentations on a user’s …
Exploring LLM Strategies: A Journey through Prompt Engineering, Functional Calling, RAG, and Fine-Tuning
Author(s): Selina Li Originally published on Towards AI. What they are, how they are related and how to select one for your use case Author: Selina Li, Tianyi Li · Introduction· Recap on how LLM works· What are the strategies, and how …
I Played Flappy Bird in ChatGPT
Author(s): Hesam Sheikh Originally published on Towards AI. GPT-4 is fantastic, but is it good enough to be a Game Engine? I tried this with Flappy Bird, using a simple LangChain program and some Prompt Engineering.Flappy Bird in ChatGPT version. We all …
Analyzing MRI Scans With AI (Tensorflow) Is Easier Than You Think
Author(s): Laszlo Fazekas Originally published on Towards AI. A few weeks ago, I had an MRI scan. That’s when it occurred to me to wonder how complicated it would be to evaluate MRI images with the help of AI. I had always …
Unveiling the Future: Mastering Stock Market Prediction with PMDARIMA
Author(s): Himanshu Sharma Originally published on Towards AI. Unlock the Secrets of Stock Market Forecasting with Python’s PMDARIMA LibraryStock Prediction(Source: By Author) Predicting stock market prices is a challenging yet crucial task for investors and financial analysts. The ability to forecast future …
Best Resources to Learn & Understand Evaluating LLMs
Author(s): Youssef Hosni Originally published on Towards AI. Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily …
SaaS-based Engineering Tool Onboarding with AI Assistance
Author(s): Jun Li Originally published on Towards AI. Image generated by Author using DALL-E Table of content · Overview· Application design· Implement the application ∘ Define graph nodes ∘ Define graph edges ∘ Memory and states ∘ Add new services ∘ Chat …
Deploying Your Models (Cheap and Dirty Way) Using Binder
Author(s): Igor Novikov Originally published on Towards AI. So you’ve built your model, and now you want to deploy it for testing or to show it to someone like your mom or grandpa, who may not be comfortable using a collaborative notebook? …
Data Science Case Study — Credit Default Prediction: Part 1
Author(s): Saankhya Mondal Originally published on Towards AI. In financial institutions, credit default occurs when a borrower fails to fulfill their debt obligations, leading to a breach of the loan agreement. It represents the risk that a borrower will default on their …
Popular posts
Updates
Recent Posts