Machine Learning Archives - Software Engineering Daily
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Machine Learning Archives - Software Engineering Daily
Machine learning and data science episodes of Software Engineering Daily.
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Anaconda and Accelerating AI Development with Rob Futrick
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 m...
Spring AI and Java in 2024
Java is one of the most widely used programming languages, and a key contributor to its success is VMware Tanzu’s Spring, the most common framework fo...
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Vercel AI with Lee Robinson
Vercel provides a cloud platform to rapidly deploy web projects, and they develop the highly successful Next.js framework. The company recently made h...
Algolia with Sean Mullaney
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...
JetBrains AI with Jodie Burchell
Jodie Burchell is the Data Science Developer Advocate at JetBrains, which makes integrated development environments or, IDEs, for many major languages...
AWS re:Invent Special: Sagemaker with Ankur Mehrotra
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...
Pinecone Vector Database with Marek Galovic
An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are...
Vespa.ai with Jon Bratseth
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 the...
GitHub Copilot with Joseph Katsioloudes
GitHub Copilot is an AI tool developed by GitHub and OpenAI to assist software developers by autocompleting code. Copilot kicked off a revolution in s...
Privacy in the Age of Generative AI
On a recent trip to my hometown in Eastern Canada, my father picked me up at the airport. One of the first things he asked me was, “Is AI going to tak...
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Weights & Biases with Chris Van Pelt
Machine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars...
De-scoping Your AWS Services from Data Residency Requirements
From the widely recognized GDPR in Europe to Brazil’s LGPD regulations, and the more recent introduction of India’s DPDP law, over 100 countries now h...
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Hugging Face with Sayak Paul
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-o...
The Data Cloud’s Cheese and Diamond Problem
In any given week, if you search the news for “data breach”, you’ll see headlines like the ones below. Companies like MGM and Caesars spend millions o...
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Building a Privacy-Preserving LLM-Based Chatbot
As Large Language Models (LLMs) and generative AI continue to grow more sophisticated and available, many organizations are starting to build, fine-tu...
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Daytona with Ivan Burazin
Cloud-based software development platforms such as GitHub Codespaces continue to grow in popularity. These platforms are attractive to enterprise orga...
GraphAware with Luanne Misquitta
Knowledge graphs are an intuitive way to define relationships between objects, events, situations, and concepts. Their ability to encode this informat...
One Snowflake, Multiple Vaults: A Solution to Data Residency
Data residency requirements, which govern where sensitive data can be stored or processed in the cloud (or in an on-prem server) are a common feature...
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Speechlab and Realtime Translation with Ivan Galea
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 pr...
Sourcegraph with Quinn Slack
If you’re a developer, there’s a good chance you’ve experimented with coding assistants like GitHub Copilot. Many developers have even fully integrate...
Stack Overflow in the AI era with Ellen Brandenberger
When StackOverflow launched in 2008 it lowered the barrier to writing complex software. It solved the longstanding problem of accessing accurate and r...
AI for Software Delivery with Birgitta Böckeler
AI-assisted software delivery refers to the utilization of artificial intelligence to assist, enhance, or automate various phases of the software deve...
Ethical GPTs with Amruta Moktali
Generative pre-trained transformer models, or GPT models, have countless applications and are being rapidly deployed across a wide range of domains. H...
Data Investing and the MAD with Matt Turck
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 technologie...
Surviving ChatGPT with Christian Hubicki
ChatGPT is an artificial intelligence language model developed by OpenAI. It is part of the GPT (Generative Pre-trained Transformer) family of models,...
Edge Impulse with Daniel Situnayake
Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain. Sponsor...
Automatic Database Tuning with Andy Pavlo
The default configuration in most databases is meant for broad compatibility rather than performance. Database tuning is a process in which the config...
Practical Machine Learning in JavaScript with Charlie Gerard
Originally published on January 1, 2022. Charlie Gerard is an incredibly productive developer. In addition to being the author of Practical Machine L...
Union.ai with Ketan Umare
At Lyft, Ketan Umare worked on Flyte, an orchestration system for machine learning. Flyte provides reliability and APIs for machine learning workflows...
Ad-free Search on Neeva with Darin Fisher
Historically, search engines made money by showing sponsored ads alongside organic results. As the idiom goes, if you’re not paying for something, you...
Practical Machine Learning in JavaScript with Charlie Gerard
Charlie Gerard is an incredibly productive developer. In addition to being the author of Practical Machine Learning in JavaScript, her website charli...
Responsibly Deploy AI in Production with Anupam Datta
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...
Learning Tensorflow.js with Gant Laborde
Machine learning models must first be trained. That training results in a model which must be serialized or packaged up in some way as a deployment a...
No Code AI for Video Analytics with Alex Thiele
Imagine a world where you own some sort of building whether that’s a grocery store, a restaurant, a factory… and you want to know how many people resi...
Virtual Agents for IT and HR with Dan Turchin
The dream of machines with artificial general intelligence is entirely plausible in the future, yet well beyond the reach of today’s cutting edge tech...
Autonomous Driving Infrastructure with Vinoj Kumar
Interest in autonomous vehicles dates back to the 1920s. It wasn’t until the 1980s that the first truly autonomous vehicle prototypes began to appear....
Sust Global: Taking Action Against Climate Change with Josh Gilbert
Governments, consumers, and companies across the world are becoming more aware and attentive to the risks and causes of climate change. From recycling...
Machine Learning: The Great Stagnation with Mark Saroufim
Mark Saroufim is the author of an article entitled “Machine Learning: The Great Stagnation”. Mark is a PyTorch Partner Engineer with Facebook AI. He h...
Data Management Systems and Artificial Intelligence with Arun Kumar
Arun Kumar is an Assistant Professor in the Department of Computer Science and Engineering and the Halicioglu Data Science Institute at the University...
BaseTen: Creating Machine Learning APIs with Tuhin Srivastava and Amir Haghighat
Application Programming Interfaces (APIs) are interfaces that enable multiple software applications to send and retrieve data from one another. They a...