O'Reilly

JUNE 11, 2024

At O’Reilly, we’re not just building training materials about AI. It would have been very difficult to develop the expertise to build and train a model, and much more effective to work with a company that already has that expertise. Most of the models we use are small, open source models.

Design 77

Design Open Source Database Programming 77

Testsigma

DECEMBER 20, 2019

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. The following are a few examples of functional test automation tools: Quick Test Professional from HP Rational Robot from IBM Selenium, which is an open-source framework.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Enprowess

MAY 10, 2018

As Artificial intelligence and Machine learning are in action now, there are various APIs and libraries available with Java too. Let’s look at TensorFlow – TensorFlow is an open source software library for machine learning, developed by Google and currently used in many of their projects. Source: [link].

Artificial Intelligence 52

Artificial Intelligence Open Source Google Java 52

O'Reilly

JULY 18, 2023

For example, one instructor was worried about recent lawsuits around Copilot’s use of open-source code as training data without attribution. Others shared concerns over the training data bias for AI tools. Also, since AI tools are typically trained on U.S./English-centric slang) from their countries.

Programming 64

Programming Education Code Strategy 64

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Open Source. Major Use Cases.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application).

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

O'Reilly

FEBRUARY 13, 2024

Since The New York Times sued OpenAI for infringing its copyrights by using Times content for training, everyone involved with AI has been wondering about the consequences. And, more importantly, how will the outcome affect the way we train and use large language models? How will this lawsuit play out? Here’s mine.

Open Source 96

Open Source Strategy Government Tuning 96

O'Reilly

JUNE 7, 2022

And that refusal is as important to intelligence as the ability to solve differential equations, or to play chess. Indeed, the path towards artificial intelligence is as much about teaching us what intelligence isn’t (as Turing knew) as it is about building an AGI. Can those tasks even be enumerated?

Artificial Intelligence 145

Artificial Intelligence Games Energy Open Source 145

O'Reilly

JANUARY 16, 2024

Speech recognition errors : ChatGPT’s speech recognition system (presumably based on OpenAI’s open-source Whisper model ) is very good, but it does at times misinterpret what I’m saying. What’s stranger is that sometimes it thinks I said something when I didn’t, maybe because it picked up on background rumbles in my car.

Entertainment 76

Entertainment Internet Internet Design 76

O'Reilly

MARCH 23, 2023

which has received some specialized training. with specialized training. GPT-2 is open source. GPT-3 and GPT-4 are not open source, but are available for free and paid access. Sydney is based on GPT-4, 1 with additional training. BLOOM An open source model developed by the BigScience workshop.

Google 108

Google Open Source Programming Code 108

Dynatrace

MARCH 16, 2021

To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. It takes times to train statistics-based machine learning solutions, and this approach doesn’t scale easily with modern, dynamic cloud-native environments.

Artificial Intelligence 187

Artificial Intelligence Open Source Cloud Analytics 187

Percona

DECEMBER 14, 2023

Will 2023 be called the year of Generative Artificial Intelligence (AI)? Percona’s experts can maximize your application performance with our open source database support, managed services, or consulting. Interesting time indeed, we’re eyewitnesses to something that started changing our world. Get in touch

Database 85

Database Artificial Intelligence Servers Operating System 85

O'Reilly

SEPTEMBER 19, 2023

A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. The overall idea of generative AI is to get a model to create content that could have reasonably fit into its training data. A basic, production-ready cluster priced out to the low-six-figures.

Hardware 102

Hardware Storage Big Data Blockchain 102

Dynatrace

JUNE 1, 2021

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Digital teams use APM tools to view and address the many variables that can impact an application’s performance.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

JULY 25, 2023

I guessed that maybe ChatGPT only knew about v2 since it was trained on open-source code from before September 2021 (its knowledge cutoff date) and v2 was the dominant format before that date. To my surprise, it knew about v3 from its training data and generated a v3 manifest file for me in response.

Programming 98

Programming Code Design Benchmarking 98