Five AI stories and announcements you should check out
What's new with all things AI? Let's dive in 👇
Llama 3.1-8B and 70B are Available on watsonx
Meta announced the launch of the Llama 3.1 collections of multilingual large language models (LLMs).
✅ Llama 3.1 supports more languages
✅ Llama 3.1 supports function calling
✅ Llama 3.1 has an increased context length of 128k tokens
👉 See the full list of foundation models available
How the Data Helps You Win Fantasy Football
🏈 In this episode of AI in Action, ESPN host Mike Greenberg discusses the importance of making game decisions based on data and how generative AI is changing the fantasy football space. Learn about the powerful AI models co-created by IBM and ESPN ⤵
Tailor-made Gen AI Delivers Precision Power
ChatGPT made everyone feel like an AI expert. But its simplicity is deceptive. It masks the complexity of the gen AI landscape that CEOs must consider when building their AI model portfolio. Knowing what drives cost, environmental impact, and business value will help you optimize the performance of you portfolio.
👉 Discover more from the CEO's Guide to Generative AI
IBM Granite Leads Open-Source LLMs on API Calling
Large language models are breaking out of chat. Now, they’re being used to help with tasks like finding software bugs and planning a trip. Pulling off these kinds of tasks depends on calling upon the right API (or application programming interface), linking LLMs to software tools and the ability to interact with the outside world.
“The world is moving toward LLM-based agents, and functionI calling is fundamental to agents being able to interact with their environment,” said IBM’s Pavan Kapanipathi, a principal research scientist leading IBM’s function-calling team.
AI Academy: Putting AI to Work in FinOps
Due to the positive disruption of generative AI, technology budgets have never been under a microscope like they are today. As organizations consider the cost of AI investments, executives and stakeholders want to know that the money they’re investing is producing the ROI they need.
👉 Check out more AI Academy episodes
👁️🐝Ⓜ️
Let us help you keep up with the speed of AI. Tune into our AI in Action Podcast to learn how to put AI into practice: ibm.biz/BdKFgN
Akhil
1dIBM News: Zynga may be learning that the hard way, as a court ruled last week that the gaming company infringed on ibm patents dating back to the pre-internet telecom platform prodigy from the 1980s https://teklrn.com/news/technology/?technology=zynga%20may%20be%20learning%20that%20the%20hard%20way,%20as%20a%20court%20ruled%20last%20week%20that%20the%20gaming%20company%20infringed%20on%20ibm%20patents%20dating%20back%20to%20the%20pre-internet%20telecom%20platform%20prodigy%20from%20the%201980s&Code=undefined&url=zynga%20may%20be%20learning%20that%20the%20hard%20way,%20as%20a%20court%20ruled%20last%20week%20that%20the%20gaming%20company%20infringed%20on%20ibm%20patents%20dating%20back%20to%20the%20pre-internet%20telecom%20platform%20prodigy%20from%20the%201980s&image=https://bitcoinist.com/wp-content/uploads/2019/07/shutterstock_779236312.jpg#scan_clicker
AI Product Manager | Especialista en IA, Big Data y Data Science | Mejorando Experiencias del Cliente y Estrategias de Productos | Facilitador de Decisiones Basadas en Datos | Editor del Newsletter Analítica
1dWhile IBM highlights the transformative potential of AI, there’s a growing concern that the rapid adoption of AI may outpace the ethical and regulatory frameworks needed to govern its use. In industries like finance and healthcare, for example, the reliance on AI could introduce risks related to data privacy, bias, and security. Although IBM promotes the business benefits, it's crucial for organizations to address these risks before fully integrating AI into critical decision-making processes.
Digital Marketing Strategist helping e-commerce founders & entrepreneurs | Building a powerful Personal Brand on LinkedIn | Turning relationships into conversions | Your E-commerce Growth & SEO Expert | Digital Marketing
2dLlama 3.1's support for more languages and function calling is a game-changer for multilingual AI applications.