Generative AI
Generative AI
What is LangChain? Easier development around LLMs
LangChain is a modular framework for Python and JavaScript that simplifies the development of applications that are powered by generative AI language models.
IBM unveils generative AI foundation models
IBM Granite series foundation models apply generative AI to natural language and coding tasks. Plus, Watsonx generative AI capabilities are coming to the Watsonx data lakehouse.
What CTOs are learning from generative AI
Generative AI is ripe with opportunity, and CTOs are definitely paying attention. Here's how three technical leaders see the present and future of GenAI.
Generative AI may displace traditional cloud development
With the explosion of interest (and money) in generative AI, what will be left for traditional cloud service development and enhancement that companies need?
How to get a handle on shadow AI
By allowing the use of AI tools proven to be safe, but requiring them to be used within explicit guidelines, you can alleviate both employee frustration and organizational risk.
OpenAI unveils ChatGPT Enterprise
Generative AI chatbot designed for use inside organizations offers enterprise-grade security and privacy, unlimited access to GPT-4, up to 2x better performance, larger context and prompt windows, and customization options.
Google expands Duet AI features across its cloud services
At its Google Cloud Next conference, the company said that it was adding Duet AI to cloud services around data analytics, databases, and infrastructure and application management.
Google Cloud’s Colab Enterprise environment to help tune LLMs
At its Cloud Next conference, the company added new features for advanced MLOps for generative AI and launched Ray on Vertex AI for scaling AI workloads efficiently.
Google’s new Vertex AI features to unlock advanced LLM capabilities
At its annual Cloud Next conference, the company announced new tools, such as Vertex AI Extensions and Vertex AI Connectors, while updating Vertex AI Search and Vertex AI Conversations with new features.
When the generative AI hype fades
GenAI is a small piece of the artificial intelligence pie, not the whole pie itself. Keep paying attention to deep learning and machine learning.
A brief guide to LangChain for software developers
LangChain is an SDK that simplifies the integration of large language models and applications by chaining together components and exposing a simple and unified API. Here’s a quick primer.
Meta releases Code Llama LLM for coding
Code Llama is a specialized version of the Llama 2 large language model that has been fine-tuned for generating and discussing code.
IBM Watsonx to use generative AI to translate COBOL code into Java
The product is targeted at modernizing mainframe applications that run on IBM Z systems, as the number of COBOL developers starts to dwindle.
3 ways to upgrade continuous testing for generative AI
As more CIOs and devops teams embrace generative AI, QA teams must also adapt their continuous testing practices to keep up.
Applying the lessons of open source to generative AI
The excitement and turmoil surrounding generative AI is not unlike the early days of open source, or the Wild West. We can resolve the uncertainty and confusion.
Building LLM applications with vector search in Azure Cognitive Services
Microsoft’s Cognitive Search API now offers vector search as a service, ready for use with large language models in Azure OpenAI and beyond.
Zenhub previews AI for software project management
Zenhub is adding AI capabilities to automate task labeling, prioritize work, estimate completion dates, and provide insights into challenges and blockages.
7 low code platforms embracing AI
Many low-code and no-code development and RPA platforms now include AI capabilities, often using a version of GPT.
The looming battle over where generative AI systems will run
Putting AI on cloud versus on-premises systems may seem like a simple decision, but it's much more complex (and potentially expensive).
