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 p

Algolia with Sean Mullaney

Jan 23rd, 2024 49m 18s

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 Mul

JetBrains AI with Jodie Burchell

Jan 16th, 2024 55m 1s

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

AWS re:Invent Special: Sagemaker with Ankur Mehrotra

Jan 9th, 2024 35m 23s

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 wh

Pinecone Vector Database with Marek Galovic

Jan 2nd, 2024 39m 29s

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 challeng

Vespa.ai with Jon Bratseth

Dec 26th, 2023 46m 11s

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. V

GitHub Copilot with Joseph Katsioloudes

Dec 19th, 2023 50m 14s

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.

Weights & Biases with Chris Van Pelt

Dec 12th, 2023 38m 22s

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

Hugging Face with Sayak Paul

Dec 5th, 2023 46m 54s

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 Machi

Daytona with Ivan Burazin

Nov 23rd, 2023 47m 50s

Cloud-based software development platforms such as GitHub Codespaces continue to grow in popularity. These platforms are attractive to enterprise organizations because they can be managed centrally with security controls. However, many, if not

GraphAware with Luanne Misquitta

Nov 22nd, 2023 57m 51s

Knowledge graphs are an intuitive way to define relationships between objects, events, situations, and concepts. Their ability to encode this information makes them an attractive database paradigm. Hume is a graph-based analysis solution develo

Speechlab and Realtime Translation with Ivan Galea

Nov 2nd, 2023 44m 31s

Speech technology has been around for a long time, but in the last 12 months it’s undergone a quantum leap. New speech synthesis models are able to produce speech that’s often indistinguishable from real speech. I’m sure many listeners have hea

Sourcegraph with Quinn Slack

Nov 1st, 2023 41m 48s

If you’re a developer, there’s a good chance you’ve experimented with coding assistants like GitHub Copilot. Many developers have even fully integrated these tools into their workflows. One way these tools accelerate development is by autocompl

Stack Overflow in the AI era with Ellen Brandenberger

Oct 3rd, 2023 47m 55s

When StackOverflow launched in 2008 it lowered the barrier to writing complex software. It solved the longstanding problem of accessing accurate and reliable programming knowledge by offering a collaborative space where programmers could ask qu

AI for Software Delivery with Birgitta Böckeler

Aug 15th, 2023 1h 1m

AI-assisted software delivery refers to the utilization of artificial intelligence to assist, enhance, or automate various phases of the software development lifecycle. AI can be used in numerous aspects of software development, from requiremen

Ethical GPTs with Amruta Moktali

Jul 27th, 2023 51m 44s

Generative pre-trained transformer models, or GPT models, have countless applications and are being rapidly deployed across a wide range of domains. However, using GPT models without appropriate safeguards can lead to leakage of sensitive data.

Data Investing and the MAD with Matt Turck

Mar 10th, 2023 51m 8s

There are many types of early stage funding available from friends and family to seed to series A. Some firms invest across a wide set of technologies and seek only to provide capital. Others are in it for the long haul – they focus on specifi

Surviving ChatGPT with Christian Hubicki

Feb 24th, 2023 1h 13m

ChatGPT is an artificial intelligence language model developed by OpenAI. It is part of the GPT (Generative Pre-trained Transformer) family of models, which are designed to generate human-like text based on input prompts. ChatGPT is specificall

Edge Impulse with Daniel Situnayake

Oct 1st, 2022 49m 27s

Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain. Sponsorship inquiries: [email protected] post Edge Impulse with Daniel Situnay

Automatic Database Tuning with Andy Pavlo

Sep 23rd, 2022 39m 54s

The default configuration in most databases is meant for broad compatibility rather than performance. Database tuning is a process in which the configurations of a database are modified to achieve optimal performance. Databases have hundreds of

Practical Machine Learning in JavaScript with Charlie Gerard

Sep 18th, 2022 30m 39s

Originally published on January 1, 2022. Charlie Gerard is an incredibly productive developer. In addition to being the author of Practical Machine Learning in JavaScript, her website charliegerard.dev has a long list of really interesting sid

Union.ai with Ketan Umare

Mar 23rd, 2022 54m 35s

At Lyft, Ketan Umare worked on Flyte, an orchestration system for machine learning. Flyte provides reliability and APIs for machine learning workflows, and is used at companies outside of Lyft such as Spotify. Since leaving Lyft, Ketan founded

Ad-free Search on Neeva with Darin Fisher

Jan 25th, 2022 48m 41s

Historically, search engines made money by showing sponsored ads alongside organic results. As the idiom goes, if you’re not paying for something, you are the product. Neeva is a new take on search engines. When you search at neeva.com, you get

Practical Machine Learning in JavaScript with Charlie Gerard

Jan 4th, 2022 36m 55s

Charlie Gerard is an incredibly productive developer. In addition to being the author of Practical Machine Learning in JavaScript, her website charliegerard.dev has a long list of really interesting side projects exploring the intersection of

Responsibly Deploy AI in Production with Anupam Datta

Nov 30th, 2021 54m 2s

Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved. In reality, it’s more like the first lap in a relay race. Deploying ML to production bears many similarities to a typical softwar