IBM watsonx

Introducing the next generation of watsonx Code Assistant – helping developers code smarter, not harder. 💻 Powered by IBM Granite code models, this new generative #AI tool helps simplify software development and application modernization at the enterprise level. See how it can help you and your business: https://ibm.co/3Yhsb0x

IBM Granite is getting stronger and shipping faster. 🔥 Today, we’re releasing IBM Granite 3.1 – the latest update to our Granite series of open and performant language models, delivering new features and significant performance improvements. What's new? We upped the context windows to 128K for all models. We added new function calling hallucination detection capabilities so users can have more control over agentic #AI workflows. Plus, we’re introducing 4 new Granite embedding models that offer multilingual support across 12 different languages. Dive into the full details here: https://ibm.biz/BdGXBh

We're excited to introduce ✌️ new integrations with watsonx: Comet and Composable. These integrations enable users to: ✔️ Connect to IBM's LLM models to evaluate and test gen AI apps ✔️ Connect to Granite models for ML and generative AI operations. Check out the full list of #watsonx partners here: https://ibm.biz/BdGFiZ

We're excited to introduce ✌️ new integrations with watsonx: Comet and Composable. These integrations enable users to: ✔️ Connect to IBM's LLM models to evaluate and test gen AI apps ✔️ Connect to Granite models for ML and generative AI operations. Check out the full list of #watsonx partners here: https://ibm.biz/BdGFiZ

2024 has been a remarkable year of innovations that advance both what is possible with AI and how we can minimize its energy costs. Looking ahead, there’s a lot of reasons I'm optimistic this momentum will continue in 2025! See my full take here.     What AI use cases or innovations are you looking forward to next year? Drop a comment below, and Happy Holidays! 💚   #AI #energy #sustainability Dr. Juan Bernabe Moreno Oday Abbosh Tamar Eilam Joanne Wright  

You asked about AI agents, we answered. From complex problem-solving to seamless IT automation, #AI agents will help reshape how people complete tasks in the workplace. Read more about the potential of agentic AI and the ways it'll impact businesses in 2025: https://ibm.biz/BdGERg

Are you ready to report under the Corporate Sustainability Reporting Directive (CSRD)? IBM Envizi can support your organization with: ↪ Assessing data requirements ↪ Implementing processes for data collection and reporting ↪ Preparing and reviewing responses to questions in the reporting framework Take the first step toward meeting your disclosure requirements with our self-guided product tour: https://ibm.co/4gcttlj

The general availability of IBM watsonx․governance 2.1 feature releases are here to accelerate responsible, transparent and ethical AI workflows. 🙌 New innovations include: ✅ A streamlined user experience with Amazon SageMaker, now available as a SaaS offering on Amazon Web Services (AWS) marketplace. ✅ Evaluation Studio that enables faster time to production for businesses to adopt AI at scale. ✅ Built-in AI guardrails to safeguard businesses with responsible AI practices and more. Get the details here: https://ibm.biz/BdGxbA

We are excited to announce the Software-as-a-Service (SaaS) availability of Maximo IT! https://ibm.co/3OPZOSI This offering combines IT service management with IT asset management, and integrates seamlessly with organizations' existing systems, while providing: ✅ Increased flexibility to customize and scale solution ✅ Enhanced data protection for sensitive IT asset data ✅ Reduced time and effort for deployment and initial productive use

The future of AI is Agentic Let's learn the basics: 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 An AI agent is a system designed to reason through complex problems, create actionable plans, and execute these plans using a suite of tools. These agents exhibit advanced reasoning capabilities, memory retention, and task execution abilities. 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗼𝗳 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 1. Agent Core: The central processing unit that integrates all functionalities. 2. Memory Module: Stores and retrieves information to maintain context and continuity over time. 3. Tools: External resources and APIs the agent can use to perform specific tasks. 4. Planning Module: Analyzes problems and devises strategies to solve them. 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 1. Advanced Problem Solving: AI agents can plan and execute complex tasks, such as generating project plans, writing code, running benchmarks, and creating summaries. 2. Self-Reflection and Improvement: AI agents can analyze their own output, identify problems, and provide constructive feedback. By incorporating this feedback and repeating the criticism/rewrite process, agents can continually improve their performance across various tasks, including code production, text writing, and answering questions. 3. Tool Utilization: AI agents can use tools to evaluate their output, such as running unit tests on code to check for correctness or searching the web to verify text accuracy. This allows them to reflect on errors and propose improvements. 4. Collaborative Multi-Agent Framework: Implementing a multi-agent framework, where one agent generates outputs, and another provides constructive criticism, leads to enhanced performance through iterative feedback and discussion. The business world is not yet ready to fully adopt agents; they are still in the very early experimental stage, and that's why everyone is implementing RAG like crazy, as it is a safer bet. But believe me, AI agents are where it's at—and at the current pace of innovation, we will soon start collaborating with AI agents instead of humans for some specific tasks. ____ Please repost it ♻️ and follow me, Armand Ruiz, for more similar posts