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 specific areas of technology and develop both long term relationships and deep expertise over time.   Today, we are interviewing Matt Turck of First Mark Capital, who is in it for the long haul and whose portfolio companies include Dataiku, Crossbeam, Ada, Cockroach Labs, Clickhouse and more.  Today we will talk about Matt’s career, investme ..read more

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 specifically trained to carry out conversational tasks, such as answering questions, completing sentences, and engaging in dialogue. It has been pre-trained on a large corpus of text data and fine-tuned on specific tasks to improve its performance. As a result, ChatGPT can generate responses that are often coherent, relevant, and natural-sounding. Christian Hubicki ..read more

Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.             Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Edge Impulse with Daniel Situnayake appeared first on Software Engineering Daily ..read more

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 configuration knobs that control various factors, such as the amount of memory to use for caches or how often the data is written to the storage. The problem with these knobs is that they are not standardized (i.e., two databases may have a different name for the same knob),  not independent (i.e., changing one knob can impact others),  and n ..read more

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 side projects exploring the intersection of human computer interaction, computer vision, interactivity, and art.  In this episode we touch on some of these projects and broadly explore how practical it is to bring interesting HCI concepts into one’s work. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Practical Machine L ..read more

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 Union.ai, a company focused on productionizing Flyte as a service. He joins the show to talk about the architecture and usage of Flyte, as well as how he is formulating the company around it. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Union.ai with Ketan Umare appeared first on Software Engineering Daily ..read more

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 the type of result you’d expect from a search engine minus any advertising. In this episode, I speak with Darin Fisher, Software Engineer at Neeva. We discuss the motivation, implementation, and mobile experience for searching with Neeva. Sponsorship inquiries: sponsor@softwareengineeringdaily.com   The post Ad-free Search on Neeva with Darin ..read more

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 human computer interaction, computer vision, interactivity, and art.  In this episode we touch on some of these projects and broadly explore how practical it is to bring interesting HCI concepts into one’s work.   The post Practical Machine Learning in JavaScript with Charlie Gerard appeared first on Software Engineering Daily ..read more

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 software release process, but brings several novel challenges like failing to generalize as expected or model drift. AI Quality management is the biggest challenge in AI today.  In this episode, I interview Anupam Datta, the co-founder at TruEra.  TruEra has a solution aimed at helping with AI performance, monitoring, and model explainabili ..read more

Software Engineering Daily invites Owen Frank Davis, Paul Davis, Kyle Davis, and Robbie Davis for a joint interview on the subject of reproduction and teething, as well as Lisch fascitis. The post #FREEZUCK | !(anaesthesoliogists & dentists) appeared first on Software Engineering Daily ..read more