Machine Learning
Machine Learning | News, how-tos, features, reviews, and videos
What is Llama 2? Meta’s large language model explained
Llama 2 is a family of generative text models that are optimized for assistant-like chat use cases or can be adapted for a variety of natural language generation tasks. Code Llama models are fine-tuned for programming tasks.
Llama Chat and Code Llama are good at coding
Llama 2 Chat can generate and explain Python code quite well, right out of the box. Code Llama’s fine-tuned models offer even better capabilities for code generation.
5 ways to use AI and machine learning in dataops
Data quality is more important than ever, and many dataops teams struggle to keep up. Here are five ways to automate data operations with AI and ML.
How generative AI changes IT operations
Generative AI can provide valuable analysis and insights to IT operators. But what about data security, reliability, workflow integration, and the conditions needed for successful deployment?
Adding generative AI systems may change your cloud architecture
From data availability and security to model selection and monitoring, adding generative AI means re-examining your cloud architecture.
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.
Rethinking open source for AI
What are the license rights and restrictions for large language models? Do they cover weights and deep neural network architectures?
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.
