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AI code-generation software: What it is and how it works

IBM Journey to AI blog

It can also modernize legacy code and translate code from one programming language to another. Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy.

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AI and coding: How Seattle tech companies are using generative AI for programming

Flipboard

Large language models are great at this kind of focused, pattern-based code building. The auto-complete and auto-suggestions in Visual Studio Code are pretty good, too, without being annoying. Intellisense and language plugins like Pylance have been around for a while. ” Jonathan Wiggs.

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Transforming customer service: How generative AI is changing the game

IBM Journey to AI blog

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Enterprise organizations (many of whom have already embarked on their AI journeys) are eager to harness the power of generative AI for customer service.

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Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s

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Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s Learn more, live!

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Beyond Metrics: A Hybrid Approach to LLM Performance Evaluation

Topbots

Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Also, while your base model may excel in broad metrics, general performance doesn’t guarantee optimal performance for your specific use cases. auto-evaluation) and using human-LLM hybrid approaches.

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Deploying Conversational AI Products to Production With Jason Flaks

The MLOps Blog

Every episode is focused on one specific ML topic, and during this one, we talked to Jason Falks about deploying conversational AI products to production. Today, we have Jason Flaks with us, and we’ll be talking about deploying conversational AI products to production. What is conversational AI?