Artificial Intelligence and Machine Learning explained

AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. A  popular use case right now is ChatGPT, which allows you to conversationally ask questions to a chatbot and get back relevant information because the AI can understand what you’re asking in plain language. Beyond just answering questions, these AIs are capable of writing code, creating detailed plans based on your specifications, summarizing documents, and more.

AI has made its way into the software development space in a number of ways. AI can be baked into applications to improve end user experience by creating personalized recommendations and tailoring experiences to the end user. AI-assisted development tools can complete the piece of code you started writing, or even offer suggestions for how to improve your code. Generative AI chatbots, such as ChatGPT, can be used to ask for specific code snippets to perform a task, can explain what is happening in a piece of code, or can be used to troubleshoot why your code isn’t working as intended.

Read the articles below for more information on what you need to know about AI.

Snowflake releases Arctic, a cost-effective LLM for enterprise intelligence

The database company Snowflake is adding another large language model (LLM) into the AI ecosystem. Snowflake Arctic is an LLM designed for complex enterprise workloads, with cost-effectiveness as a key highlight.  It can efficiently complete enterprise intelligence tasks like SQL generation, coding, and instruction following, meeting or exceeding benchmarks in those areas when compared to … continue reading

New Relic introduces new monitoring solution for AI applications

New Relic is hoping to provide customers with a better understanding of the health and state of their AI applications with the introduction of New Relic AI monitoring. “New Relic AI monitoring brings the power of observability to engineers working on AI by providing the necessary insights to debug, monitor, and improve AI applications, ensuring … continue reading

Amazon Bedrock adds ability to import custom models

Amazon has announced several major updates to Amazon Bedrock, its platform that provides developers with access to foundation models (FMs) from AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon.  Amazon Bedrock is a managed service, handling the underlying infrastructure for these models so that developers can build generative … continue reading

GitLab Duo Chat released as part of GitLab 16.11

GitLab has announced that its AI assistant GitLab Duo Chat is now generally available as part of the GitLab 16.11 release.  GitLab Duo Chat can answer questions about issues, epics, code, errors, CI/CD configurations, or the GitLab platform itself. It can also refactor existing code and generate tests. For instance, a developer onboarding onto a … continue reading

Meta releases the first two Llama 3 models

Meta has revealed the next generation of Llama, which is an open-source large language model (LLM) family developed by the company. The Llama 3 models are considered by Meta to be “the best open source models of their class, period,” the company claimed in a blog post.  It has released the first two models in … continue reading

SD Times Open-Source Project of the Week: STORM

STORM is an open-source project that can research and develop a full report of a topic, complete with sources. It originated from a paper out of Stanford.  According to the Stanford researchers, there is a disconnect online between “the vast amounts of accessible information and what an individual can realistically assimilate.” They explained that while … continue reading

Tricentis announces series of AI Copilots for its testing portfolio, starting with Testim Copilot

The testing company Tricentis has just announced the first in a series of AI copilots for its testing portfolio. The first solution is Testim Copilot, which adds AI capabilities to the automated testing platform Testim.  With Testim Copilot, users can input a text description of what they want to test and receive the JavaScript code … continue reading

New legislation would require companies to disclose that they are training AI models on copyrighted work

Last week, California Representative Adam Schiff introduced new legislation that would require companies to be more upfront and transparent with consumers when they train generative AI models using copyrighted work. The Generative AI Copyright Disclosure Act would make it so that companies need to submit a notice to the Register of Copyrights before they release … continue reading

OpenAI’s Assistants API update adds new file search tool and ability to set maximum token limits

OpenAI has just announced a few new updates to its Assistants API, which is an API that makes it possible for developers to build AI assistants into their applications.  The API now includes a file search tool that allows up to 10,000 files per assistant, and can enable developers to integrate knowledge retrieval into their … continue reading

JetBrains aims to improve developer productivity with launch of IDE Services

JetBrains is attempting to make it easier for developers to manage different development tools with the release of JetBrains IDE Services.  “Due to complex environments and distributed engineering teams, enterprise customers struggle to efficiently and securely deploy and manage IDEs, AI tools, and remote environments all at once. These struggles naturally slow businesses down and … continue reading

Intel unveils Gaudi 3 processors as part of its AI strategy

At Intel Vision 2024, Intel had a lot to say about AI and what it’s been working on in that area. The company announced a new AI accelerator called Gaudi 3, its plans to collaborate on an open platform for enterprise AI, and next generation processors. Gaudi 3 uses Ethernet to connect tens of thousands … continue reading

Google announces two new variants of Gemma: CodeGemma and RecurrentGemma

Google has announced that it is extending the Gemma family of AI models with two new variants, one for code generation and one for inference.  For code generation, it is releasing CodeGemma, which provides intelligent code completion and generation. It is capable of producing entire blocks of code at a time, Google claims.  According to … continue reading

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