@IBMTechnology
  @IBMTechnology
IBM Technology | Modernizing code with AI Code Assistants @IBMTechnology | Uploaded August 2024 | Updated October 2024, 19 hours ago.
Explore the podcast → https://ibm.biz/BdKnTC

Generative AI can generate code, but without human oversight it can be extremely difficult to modify and update.  Host Albert Lawrence discusses with Miha Kralj, Global Senior Partner of IBM Hybrid Cloud Services and David Levy, Advisory Technology Engineer at IBM Client Engineering discuss the pitfalls of using generative AI to write code, and how to solve for them.

In this new series, host Albert Lawrence will be joined by AI experts – technologists and business leaders alike to explore what generative AI can and can’t do, how it actually gets built, responsible ways to put it into practice, and the real world business problems and solutions we’ll encounter along the way.

AI news is moving fast. Keep your business ahead with updates about AI advancements, strategies and expert perspectives. → https://ibm.biz/BdKnT3

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.
Modernizing code with AI Code AssistantsWhat is the K-Nearest Neighbor (KNN) Algorithm?Metas Llama 3.1, Mistral Large 2 and big interest in small modelsIBM Tech Now: IBM & Salesforce, custom foundation models on watsonx.ai, and Mixture of ExpertsCost of a Data Breach 2024 TrendsWhat is an Application Platform?Putting AI to Work for MarketingConnecting Large Language Models to Chatbots in Under 10 MinutesWhat is Granite?Unmask The DeepFake: Defending Against Generative AI DeceptionLarge Language Model Operations (LLMOps) ExplainedReproducibility in AI Systems

Modernizing code with AI Code Assistants @IBMTechnology

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER