Auto-complete, Automation and Large Language Models

AutoGen: Powering Next Generation Large Language Model Applications

Unite.AI

OCTOBER 18, 2023

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.

Large Language Models

Large Language Models LLM Auto-complete Automation

Evaluate large language models for your machine translation tasks on AWS

AWS Machine Learning Blog

JANUARY 7, 2025

Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. When the indexing is complete, select the created index from the index dropdown.

Large Language Models

Large Language Models Prompt Engineering Prompt Engineer Metadata

Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A Closed-Loop Framework for Automating Scientific Research with Iterative Feedback

Marktechpost

JANUARY 12, 2025

Researchers want to create a system that eventually learns to bypass humans completely by completing the research cycle without human involvement. Several research environments have been developed to automate the research process partially. Such developments could raise productivity and bring people closer to tough challenges.

Auto-classification

Auto-classification Automation Auto-complete BERT

Webinars

Relevance, Reach, Return: How to Turn Marketing Trends From Hype to High-Impact

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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Relevance AI Review: Can AI Agents Replace New Hires?

Unite.AI

MARCH 19, 2025

It's the power of AI automation brought to life by Relevance AI ! Did you know that 94% of companies perform repetitive tasks which can be streamlined through automation? It automates tasks and integrates smoothly with tools like HubSpot and Salesforce. This isn't some sci-fi future.

Auto-complete

Auto-complete Automation AI AI

Best Large Language Models & Frameworks of 2023

AssemblyAI

SEPTEMBER 18, 2023

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?

Large Language Models

Large Language Models BERT Auto-complete LLM

Unlock cost savings with the new scale down to zero feature in SageMaker Inference

Flipboard

DECEMBER 2, 2024

This enhancement builds upon the existing auto scaling capabilities in SageMaker, offering more granular control over resource allocation. Compressed model files may save storage space, but they require additional time to uncompress and files can’t be downloaded in parallel, which can slow down the scale-up process.

Auto-complete

Auto-complete Machine Learning ML Generative AI

Llama 3.3 70B now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

DECEMBER 16, 2024

70B marks an exciting advancement in large language model (LLM) development, offering comparable performance to larger Llama versions with fewer computational resources. 70B using the SageMaker JumpStart UI, complete the following steps: In SageMaker Unified Studio, on the Build menu, choose JumpStart models.

Auto-complete

Auto-complete Large Language Models Python ML

Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Additionally, it poses a security risk when handling sensitive data, making it a less desirable option in the age of automation and digital security.

Data Extraction

Data Extraction Neural Network Large Language Models NLP

MetaGPT: Complete Guide to the Best AI Agent Available Right Now

Unite.AI

SEPTEMBER 11, 2023

With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue. Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks.

Python

Python Software Development OpenAI Software Engineer

10 Best AI Customer Support Software with Help Desk Features (2025)

Unite.AI

MARCH 25, 2025

The tools on this list combine traditional help desk capabilities (like ticketing, knowledge bases, and multi-channel support) with powerful artificial intelligence to automate responses, assist agents, and improve customer satisfaction. Top Features: Freddy AI Suite AI chatbots, automated ticket triage, and reply suggestions for agents.

Chatbots

Chatbots AI Chatbots Automation AI

Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference

AWS Machine Learning Blog

MARCH 25, 2025

Although blue/green deployment has been a reliable strategy for zero-downtime updates, its limitations become glaring when deploying large-scale large language models (LLMs) or high-throughput models on premium GPU instances. If the CloudWatch alarms are triggered, SageMaker AI will start an automated rollback.

Auto-complete

Auto-complete Large Language Models AI AI

How iFood built a platform to run hundreds of machine learning models with Amazon SageMaker Inference

AWS Machine Learning Blog

APRIL 8, 2025

Additionally, the integration of SageMaker features in iFoods infrastructure automates critical processes, such as generating training datasets, training models, deploying models to production, and continuously monitoring their performance. This integration not only simplifies complex processes but also automates critical tasks.

Machine Learning

Machine Learning ML Auto-complete Data Scientist

The Rise of AI Software Engineers: SWE-Agent, Devin AI and the Future of Coding

Unite.AI

APRIL 18, 2024

By harnessing the power of large language models and machine learning algorithms, these AI systems can not only generate code but also identify and fix bugs, streamlining the entire development lifecycle. Described as an AI-powered programming companion, it presents auto-complete suggestions during code development.

Software Engineer

Software Engineer Software Development LLM Auto-complete

Saket Saurabh, CEO and Co-Founder of Nexla – Interview Series

Unite.AI

JANUARY 22, 2025

He is leading the development of a next-generation, automated data engineering platform designed to bring scale and velocity to those working with data. Nexla enables the automation of data engineering so that data can be ready-to-use. Auto generation: Integration and GenAI are both hard.

Auto-complete

Auto-complete Automation Machine Learning Data Integration

Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning Blog

APRIL 1, 2025

Model Context Protocol (MCP) is a standardized open protocol that enables seamless interaction between large language models (LLMs), data sources, and tools. Prerequisites To complete the solution, you need to have the following prerequisites in place: uv package manager Install Python using uv python install 3.13

Auto-complete

Auto-complete Chatbots Generative AI Python

Just Calm Down About GPT-4 Already

Flipboard

MAY 17, 2023

And so it is with the current shock and awe over large language models, such as GPT-4 from OpenAI. It gives an answer with complete confidence, and I sort of believe it. And half the time, it’s completely wrong.” The large language models are a little surprising. Rodney Brooks, Robust.AI

Large Language Models

Large Language Models Robotics Convolutional Neural Networks Neural Network

Scott Stevenson, Co-Founder & CEO of Spellbook – Interview Series

Unite.AI

OCTOBER 30, 2023

Scott Stevenson, is Co-Founder & CEO of Spellbook , a tool to automate legal work that is built on OpenAI's GPT-4 and other large language models (LLMs). Spellbook is further tuning the model using proprietary legal datasets. How does Spellbook suggest language for legal contracts?

Auto-complete

Auto-complete Software Engineer Large Language Models Automation

Automated Opinion Writing As-A-Service

Robot Writers AI

SEPTEMBER 3, 2023

Now a Thing Wired reports that new tech has emerged to auto-generate tweets, articles and Web sites to counter an opposing viewpoint. #ad More to the point: As an American, I don’t have a problem with automation designed to eviscerate anti-U.S. lies promulgated by a gangster-led political machine that masquerades as a government.

Automation

Automation Auto-complete ChatGPT Robotics

Application modernization overview

IBM Journey to AI blog

NOVEMBER 24, 2023

Many enterprises are realizing that moving to cloud is not giving them the desired value nor agility/speed beyond basic platform-level automation. Generative AI-based Solution Approach : The Mule API to Java Spring boot modernization was significantly automated via a Generative AI-based accelerator we built.

Generative AI

Generative AI Auto-complete DevOps Automation

Speaker diarization improvements: new languages, increased accuracy

AssemblyAI

JUNE 20, 2024

Conversational intelligence features and Large Language Model (LLM) post-processing rely on knowing who said what to extract as much useful information as possible from this raw data. Try it today Get a free API key to try out our improved Speaker Diarization model Get an API key

Auto-complete

Auto-complete Automation Python Large Language Models

9 ways developer productivity is boosted by generative AI

IBM Journey to AI blog

MARCH 6, 2024

A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. Repetitive, routine work like typing out standard functions can be expedited with auto-complete features.

Generative AI

Generative AI DevOps Software Development Auto-complete

Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

NOVEMBER 26, 2024

Since 2018, using state-of-the-art proprietary and open source large language models (LLMs), our flagship product— Rad AI Impressions — has significantly reduced the time radiologists spend dictating reports, by generating Impression sections. 3 seconds, with minimal latency. No one writes any code manually.

Machine Learning

Machine Learning ML Automation AI

The AI Revolution: How Auto-GPT Unleashes a New Era of Automation and Creativity

Towards AI

APRIL 15, 2023

Each model identifies a set of tasks, and these tasks are then delegated to other agents for further execution. AutoGPT spawns tasks recursively As these models become increasingly powerful, we must ask ourselves: what does the future hold for them? GPT-4 text generation: Auto-GPT uses GPT-4 for text generation.

Auto-complete

Auto-complete Automation Large Language Models AI

Build a serverless meeting summarization backend with large language models on Amazon SageMaker JumpStart

AWS Machine Learning Blog

MAY 17, 2023

The performance and quality of the models also improved drastically with the number of parameters. These models span tasks like text-to-text, text-to-image, text-to-embedding, and more. You can use large language models (LLMs), more specifically, for tasks including summarization, metadata extraction, and question answering.

Large Language Models

Large Language Models Auto-complete ML Generative AI

Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

Large Language Models

Large Language Models LLM Machine Learning ML

Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

AWS Machine Learning Blog

MAY 7, 2024

The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. They are designed for real-time, interactive, and low-latency workloads and provide auto scaling to manage load fluctuations. You can find other Hugging Face models that are better suited for other languages.

Automation

Automation Auto-complete DevOps UX Design

MAGPIE: A Self-Synthesis Method for Generating Large-Scale Alignment Data by Prompting Aligned LLMs with Nothing

Marktechpost

JUNE 15, 2024

Artificial intelligence’s large language models (LLMs) have become essential tools due to their ability to process and generate human-like text, enabling them to perform various tasks. MAGPIE leverages the auto-regressive nature of aligned LLMs to generate high-quality instruction data at scale.

Prompt Engineer

Prompt Engineer Prompt Engineering Auto-complete Large Language Models

Allen Institute for AI Researchers Propose SUPER: A Benchmark for Evaluating the Ability of LLMs to Set Up and Execute Research Experiments

Marktechpost

SEPTEMBER 17, 2024

As AI continues to evolve, researchers are looking for ways to automate these tasks to expedite scientific discovery. Recent advancements in large language models (LLMs) have shown potential in automating this process, such as generating code or commands to resolve issues. of the sub-problems in the Masked set.

Auto-complete

Auto-complete AI Researcher AI Research Automation

Transforming customer service: How generative AI is changing the game

IBM Journey to AI blog

JULY 17, 2023

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. The LLM solution has resulted in an 80% reduction in manual effort and in 90% accuracy of automated tasks.

Generative AI

Generative AI Auto-complete Automation AI

COULER: An AI System Designed for Unified Machine Learning Workflow Optimization in the Cloud

Marktechpost

MARCH 16, 2024

This system transcends the limitations of existing solutions by leveraging natural language (NL) descriptions to automate the generation of ML workflows. Auto-parallelization: This feature enables the system to optimize the execution of large workflows, further improving computational performance.

Machine Learning

Machine Learning Auto-complete ML Large Language Models

Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

MARCH 10, 2025

Visit octus.com to learn how we deliver rigorously verified intelligence at speed and create a complete picture for professionals across the entire credit lifecycle. The Q&A handler, running on AWS Fargate, orchestrates the complete query response cycle by coordinating between services and processing responses through the LLM pipeline.

DevOps

DevOps Metadata Auto-complete Automation

7 LLM use cases and applications in 2024

AssemblyAI

MARCH 11, 2024

Large Language Models (LLMs) are powerful models reshaping how we interact with machines—streamlining business operations, automating mundane tasks, and uncovering deep insights faster than ever. Large Language Models decipher and generate human language on a massive scale.

LLM

LLM Large Language Models Data Analysis Auto-complete

Starter Guide For Running Large Language Models LLMs

Marktechpost

MARCH 6, 2025

Running large language models (LLMs) presents significant challenges due to their hardware demands, but numerous options exist to make these powerful tools accessible. Plug in the coffee maker and press the POWER button. Press the BREW button to start brewing.

Large Language Models

Large Language Models Auto-complete Prompt Engineering Prompt Engineer

Latest Modern Advances in Prompt Engineering: A Comprehensive Guide

Unite.AI

MAY 27, 2024

Recent Advances in Prompt Engineering Prompt engineering is evolving rapidly, and several innovative techniques have emerged to improve the performance of large language models (LLMs). Advantages: Automation: Reduces the manual effort required to create reasoning demonstrations.

Prompt Engineering

Prompt Engineering Prompt Engineer LLM Auto-complete

Going Beyond Zero/Few-Shot: Chain of Thought Prompting for Complex LLM Tasks

Towards AI

APRIL 7, 2024

Source : Image generated by author using Yarnit It is quite astonishing how Large Language Models or LLMs (GPT, Claude, Gemini etc.) It’s a powerful technology that can tackle a variety of natural language tasks. In their paper, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models”, Wei et.

LLM

LLM Auto-complete Prompt Engineer Prompt Engineering

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

Flipboard

JUNE 13, 2023

GitHub Copilot, Amazon CodeWhisperer, ChatGPT, Tabnine, and various other AI coding tools are quickly gaining traction, helping developers automate mundane tasks and freeing them up to work on more challenging problems. Large language models are great at this kind of focused, pattern-based code building.

Generative AI

Generative AI Auto-complete Software Engineer AI

Saurabh Vij, CEO & Co-Founder of MonsterAPI – Interview Series

Unite.AI

MAY 28, 2024

MonsterGPT leverages advanced technologies to efficiently deploy and fine-tune open source Large Language Models (LLMs) such as Phi3 from Microsoft and Llama 3 from Meta. Designing and Implementing multi-node auto-scaling with high throughput serving engines such as vLLM for LLM deployments.

Auto-complete

Auto-complete LLM Machine Learning Software Development

? Guest Post: How to Customize Auto-GPT for Your Unique Use Case: A Comprehensive Guide*

TheSequence

MAY 22, 2023

In November of 2022, ChatGPT, the chatbot interface powered by GPT, introduced large language models (LLMs) into mainstream media. Auto-GPT An open-source GPT-based app that aims to make GPT completely autonomous. What makes Auto-GPT such a popular project? How to Set Up Auto-GPT in Minutes Configure `.env`

Auto-complete

Auto-complete Python OpenAI Automation

Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning Blog

MARCH 15, 2024

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. The FedML framework is model agnostic, including recently added support for large language models (LLMs). Choose New Application.

Auto-complete

Auto-complete Auto-classification Machine Learning ML

Gentrace Secures $8M Series A to Revolutionize Generative AI Testing

Unite.AI

DECEMBER 10, 2024

Gentrace , a cutting-edge platform for testing and monitoring generative AI applications, has announced the successful completion of an $8 million Series A funding round led by Matrix Partners , with contributions from Headline and K9 Ventures. Additionally, Gentrace is committed to enhancing its compliance and security capabilities.

Generative AI

Generative AI Auto-complete LLM DevOps

Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

JUNE 27, 2023

Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. What are Large Language Models (LLMs)?

Large Language Models

Large Language Models BERT Natural Language Processing NLP

Taming the Oracle: Key Principals That Bring Our LLM Agents to Production

Towards AI

NOVEMBER 15, 2024

Generated with Microsoft Designer With the second anniversary of the ChatGPT earthquake right around the corner, the rush to build useful applications based on large language models (LLMs) of its like seems to be in full force. A Tame Oracle. Even then, some invalid paths might be too far from any valid ones.

LLM

LLM Auto-complete Software Engineer Automation

Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

JULY 1, 2024

Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. It features natural language understanding capabilities to recognize more accurate identification of user intent and fulfills the user intent faster. Choose Create knowledge base.

Auto-complete

Auto-complete Chatbots Generative AI Software Development

Unleashing the power of generative AI: Verisk’s Discovery Navigator revolutionizes medical record review

AWS Machine Learning Blog

AUGUST 22, 2024

Discovery Navigator recently released automated generative AI record summarization capabilities. It was built using Amazon Bedrock , a fully managed service from AWS that provides access to foundation models (FMs) from leading AI companies through an API to build and scale generative AI applications.

Generative AI

Generative AI Auto-complete Software Development Automation

AutoGen: Powering Next Generation Large Language Model Applications

Evaluate large language models for your machine translation tasks on AWS

Webinars

Trending Sources

Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A Closed-Loop Framework for Automating Scientific Research with Iterative Feedback

Webinars

Relevance AI Review: Can AI Agents Replace New Hires?

Best Large Language Models & Frameworks of 2023

Unlock cost savings with the new scale down to zero feature in SageMaker Inference

Llama 3.3 70B now available in Amazon SageMaker JumpStart

Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

MetaGPT: Complete Guide to the Best AI Agent Available Right Now

10 Best AI Customer Support Software with Help Desk Features (2025)

Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference

How iFood built a platform to run hundreds of machine learning models with Amazon SageMaker Inference

The Rise of AI Software Engineers: SWE-Agent, Devin AI and the Future of Coding

Saket Saurabh, CEO and Co-Founder of Nexla – Interview Series

Introducing AWS MCP Servers for code assistants (Part 1)

Just Calm Down About GPT-4 Already

Scott Stevenson, Co-Founder & CEO of Spellbook – Interview Series

Automated Opinion Writing As-A-Service

Application modernization overview

Speaker diarization improvements: new languages, increased accuracy

9 ways developer productivity is boosted by generative AI

Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

The AI Revolution: How Auto-GPT Unleashes a New Era of Automation and Creativity

Build a serverless meeting summarization backend with large language models on Amazon SageMaker JumpStart

Training large language models on Amazon SageMaker: Best practices

Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

MAGPIE: A Self-Synthesis Method for Generating Large-Scale Alignment Data by Prompting Aligned LLMs with Nothing

Allen Institute for AI Researchers Propose SUPER: A Benchmark for Evaluating the Ability of LLMs to Set Up and Execute Research Experiments

Transforming customer service: How generative AI is changing the game

COULER: An AI System Designed for Unified Machine Learning Workflow Optimization in the Cloud

Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

7 LLM use cases and applications in 2024

Starter Guide For Running Large Language Models LLMs

Latest Modern Advances in Prompt Engineering: A Comprehensive Guide

Going Beyond Zero/Few-Shot: Chain of Thought Prompting for Complex LLM Tasks

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

Saurabh Vij, CEO & Co-Founder of MonsterAPI – Interview Series

? Guest Post: How to Customize Auto-GPT for Your Unique Use Case: A Comprehensive Guide*

Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

Gentrace Secures $8M Series A to Revolutionize Generative AI Testing

Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

Taming the Oracle: Key Principals That Bring Our LLM Agents to Production

Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

Unleashing the power of generative AI: Verisk’s Discovery Navigator revolutionizes medical record review

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