Flipboard

AUGUST 21, 2023

Generative AI, ChatGPT, and large language models (LLMs) like GitHub Copilot and other AI code-generation tools are changing software development …

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Generative AI Large Language Models Software Development ChatGPT 123

Marktechpost

JUNE 25, 2024

Google Gemini AI Course for Beginners This beginner’s course provides an in-depth introduction to Google’s AI model and the Gemini API, covering AI basics, Large Language Models (LLMs), and obtaining an API key. Gemini for DevOps Engineers This course teaches engineers to use Gemini to manage infrastructure.

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DevOps Data Analysis Large Language Models Generative AI 109

AWS Machine Learning Blog

MARCH 18, 2024

NVIDIA NIM m icroservices now integrate with Amazon SageMaker , allowing you to deploy industry-leading large language models (LLMs) and optimize model performance and cost. Qing Lan is a Software Development Engineer in AWS. In his spare time, he enjoys running, cycling and ski mountaineering.

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LLM Deep Learning Machine Learning Large Language Models 128

AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. The use of multiple external cloud providers complicated DevOps, support, and budgeting.

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DevOps Metadata Auto-complete Automation 100

AWS Machine Learning Blog

NOVEMBER 19, 2024

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. Get hands-on experience with Amazon Q Developer to learn how it can help you understand, build, and operate AWS applications.

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ML Generative AI AI AI 95

O'Reilly Media

FEBRUARY 25, 2025

On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations.

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Generative AI Python LLM AI 81

Unite.AI

JANUARY 25, 2024

Prompt engineering revolves around the art and science of crafting effective prompts to elicit desired responses from AI models, especially large language models like GPT. This topic, which didn't even exist in 2022, has quickly gained traction, now garnering nearly as much attention as transformers.

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Prompt Engineer Prompt Engineering NLP Generative AI 182

Unite.AI

SEPTEMBER 4, 2024

Anthropic has just announced its new Claude Enterprise Plan, marking a significant development in the large language model (LLM) space and offering businesses a powerful AI collaboration tool designed with security and scalability in mind.

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DevOps Large Language Models Software Development Automation 147

Chatbots Life

MAY 16, 2023

10CLOUDS Year Founded : 2009 HQ : Warsaw, Poland Team Size : 51–200 employees Clients : TrustStamp (Identity verification), Emergent Tech (G-Coin), AlephZero (Blockchain), Tapeke (BitCoin Software Development), Tagasauris (Crowdsourcing Software Development), CallerSmart.

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Generative AI Chatbots Conversational AI Software Development 92

AWS Machine Learning Blog

FEBRUARY 1, 2024

Full stack generative AI Although a lot of the excitement around generative AI focuses on the models, a complete solution involves people, skills, and tools from several domains. Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs).

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Generative AI Prompt Engineer Prompt Engineering AI 135

AWS Machine Learning Blog

AUGUST 22, 2024

As you move from pilot and test phases to deploying generative AI models at scale, you will need to apply DevOps practices to ML workloads. Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance.

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Generative AI Metadata Python ML 124

Heartbeat

FEBRUARY 29, 2024

The software development landscape is constantly evolving, driven by technological advancements and the ever-growing demands of the digital age. Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems.

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Software Engineer Software Development Large Language Models LLM 52

AWS Machine Learning Blog

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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Generative AI LLM AI AI 80

AWS Machine Learning Blog

JULY 18, 2024

By using the power of large language models (LLMs), Mend.io With 20 years of experience in software development and group management, Hemmy is passionate about helping customers build innovative, scalable, and cost-effective solutions. With this capability, they manage to reduce 200 days of human experts’ work.

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Generative AI Automation Categorization Software Architect 119

AWS Machine Learning Blog

DECEMBER 13, 2023

ML operations, known as MLOps, focus on streamlining, automating, and monitoring ML models throughout their lifecycle. Data scientists, ML engineers, IT staff, and DevOps teams must work together to operationalize models from research to deployment and maintenance.

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ML Automation Metadata Software Development 125

AWS Machine Learning Blog

NOVEMBER 21, 2023

Optimizing training with NVIDIA Tensor Core GPUs Gaining access to an NVIDIA Tensor Core GPU for large language model training is not enough to capture its true potential. Tarun Sharma is a Software Development Manager leading Amazon Music Search Relevance.

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ML Deep Learning Machine Learning DevOps 109

AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Solutions Architect at Amazon Web Services with specialization in DevOps and Observability.

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Generative AI LLM Machine Learning Large Language Models 89

AWS Machine Learning Blog

AUGUST 29, 2024

This integration allows you to deploy industry-leading large language models (LLMs) on SageMaker and optimize their performance and cost. Qing Lan is a Software Development Engineer in AWS. At the 2024 NVIDIA GTC conference, we announced support for NVIDIA NIM Inference Microservices in Amazon SageMaker Inference.

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Generative AI Machine Learning Deep Learning AI 86

AWS Machine Learning Blog

APRIL 19, 2023

You can now use it to deploy large models with model parallel inference using DeepSpeed and SageMaker. The largest area under development is large language model support for models like ChatGPT or Stable Diffusion. Zach Kimberg is a Software Developer in the Amazon AI org.

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ML Deep Learning Python Auto-classification 91

The MLOps Blog

MARCH 21, 2023

Version control for code is common in software development, and the problem is mostly solved. However, machine learning needs more because so many things can change, from the data to the code to the model parameters and other metadata. . My Story DevOps Engineers Who they are?

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Machine Learning Data Scientist ML Metadata 69

Unite.AI

NOVEMBER 21, 2024

Archana Joshi brings over 24 years of experience in the IT services industry, with expertise in AI (including generative AI), Agile and DevOps methodologies, and green software initiatives. As the software development landscape evolves, we are leveraging GenAI to automate those repetitive tasks that can bog teams down.

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DevOps Automation Responsible AI Software Development 147

AWS Machine Learning Blog

NOVEMBER 27, 2024

For enterprises in the realm of cloud computing and software development, providing secure code repositories is essential. This function retrieves the code, scans it for vulnerabilities using a preselected large language model (LLM), applies remediation, and pushes the remediated code to a new branch for user validation.

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Generative AI Automation DevOps Prompt Engineer 105

AWS Machine Learning Blog

JANUARY 9, 2025

Deep Instinct, recognizing this need, has developed DIANNA (Deep Instincts Artificial Neural Network Assistant), the DSX Companion. DIANNA is a groundbreaking malware analysis tool powered by generative AI to tackle real-world issues, using Amazon Bedrock as its large language model (LLM) infrastructure.

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Deep Learning Neural Network Explainability AI 112