Machine Learning Archives - Software Engineering Daily

Anaconda is a popular platform for data science, machine learning, and AI. It provides trusted repositories of Python and R packages and has over 35 million users worldwide. Rob Futrick is the CTO at Anaconda, and he joins the show to talk about the platform, the concept of an OS for AI, and more. This The post Anaconda and Accelerating AI Development with Rob Futrick appeared first on Software Engineering Daily.

Vercel provides a cloud platform to rapidly deploy web projects, and they develop the highly successful Next.js framework. The company recently made headlines when they announced v0 which is a generative AI tool to create React code from text prompts. The generated code uses open-source tools like Tailwind CSS and shadcn/ui. Lee Robinson is the The post Vercel AI with Lee Robinson appeared first on Software Engineering Daily.

Algolia is a platform that provides search as a service. The company was founded in 2012, was part of Y Combinator’s Winter 2014 class, and has become highly popular for integrating modern search functionality into web-facing services. Sean Mullaney is the CTO of Algolia and has worked at Google X, Stripe, and Zolando. He joins The post Algolia with Sean Mullaney appeared first on Software Engineering Daily.

Jodie Burchell is the Data Science Developer Advocate at JetBrains, which makes integrated development environments or, IDEs, for many major languages. After observing the rapid growth of the AI coding assistant landscape, the company recently announced integration of an AI assistant into their IDEs. Jodie joins the show today to talk about why the company The post JetBrains AI with Jodie Burchell appeared first on Software Engineering Daily.

This episode of Software Engineering Daily is part of our on-site coverage of AWS re:Invent 2023, which took place from November 27th through December 1st in Las Vegas. In today’s interview, host Jordi Mon Companys speaks with Ankur Mehrotra who is the Director and GM of Amazon SageMaker. Jordi Mon Companys is a product manager The post AWS re:Invent Special: Sagemaker with Ankur Mehrotra appeared first on Software Engineering Daily.

An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to make data consumable by ML models. However, storing embeddings presents a challenge to traditional databases. Vector databases are designed to solve this problem. Pinecone has developed one of the most The post Pinecone Vector Database with Marek Galovic appeared first on Software Engineering Daily.

Vespa is a fully featured search engine and vector database, and it has integrated ML model inference. The project open sourced in 2017, and since then has grown to become a prominent platform for applying AI to big data sets at serving time. Vespa began as a project to solve Yahoo’s use cases in search, The post Vespa.ai with Jon Bratseth appeared first on Software Engineering Daily.

GitHub Copilot is an AI tool developed by GitHub and OpenAI to assist software developers by autocompleting code. Copilot kicked off a revolution in software engineering, and AI assistants are now considered essential tools to many developers. Joseph Katsioloudes is a cyber security specialist and works at the GitHub Security Lab. He joins the show The post GitHub Copilot with Joseph Katsioloudes appeared first on Software Engineering Daily.

Machine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars in underutilized compute resources. Once trained, model deployment, production monitoring, and observability requirements all present unique operational challenges. Chris Van Pelt is the Chief Information Officer of Weights and Biases, which is the industry standard in The post Weights & Biases with Chris Van Pelt appeared first on Software Engineering Daily.

Hugging Face was founded in 2016 and has grown to become one of the most prominent ML platforms. It’s commonly used to develop and disseminate state-of-the-art ML models and is a central hub for researchers and developers. Sayak Paul is a Machine Learning Engineer at Hugging Face and a Google Developer Expert. He joins the The post Hugging Face with Sayak Paul appeared first on Software Engineering Daily.