Remove Auto-complete Remove Conversational AI Remove Natural Language Processing
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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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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?

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11 Business AI Tools for Startups in 2023

Marktechpost

With the help of the AI Writing Assistant, users may generate content by describing their ideas, choosing the desired tone and length, and writing interesting pieces. Existing text can now be improved using the AI Text Tools’ capabilities for auto-correction, auto-completion, tone alterations, and text regeneration.

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MeetGeek Review: Can AI Record & Transcribe My Meetings?

Unite.AI

Auto-Recording & Transcription With MeetGeek AI, you can automatically record and transcribe your meetings for free without taking notes! I was impressed with the seamless process, and I love how organized and clean the MeetGeek interface was! This keeps everyone on track to get the most out of the meeting.

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IT Service Desk Chatbot: Automate your Service Desk

Chatbots Life

People rely on conversational AI and virtual assistants to do anything from purchasing a trip to scheduling a doctor’s appointment in the present digital environment. Surprisingly, a simple request to change the password for many businesses still requires an elaborate ticket-raising process. Automation rules today’s world.

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Beyond Metrics: A Hybrid Approach to LLM Performance Evaluation

Topbots

auto-evaluation) and using human-LLM hybrid approaches. Human, Auto-Evaluation, and Hybrid Approaches Human evaluation is frequently viewed as the gold standard for evaluating machine learning applications, LLM-based systems included, but is not always feasible due to temporal or technical constraints.

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Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning Blog

Haystack provides pipelines and Agents , two powerful structures for designing LLM applications for various use cases including search, question answering, and conversational AI. We use OpenSearch as our DocumentStore and a Haystack indexing pipeline to preprocess and index our files to OpenSearch.