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.

DevOps 147

DevOps Large Language Models Software Development Automation 147

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. The solution has three main steps: Write Python code to preprocess, train, and test an LLM in Amazon Bedrock. Add @step decorated functions to convert the Python code to a SageMaker pipeline.

Generative AI 124

Generative AI Metadata Python ML 124

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.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

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.

Software Engineer 52

Software Engineer Software Development Large Language Models LLM 52

AWS Machine Learning Blog

NOVEMBER 7, 2023

Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings. However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG). We have provided this demo in the GitHub repo.

Large Language Models 118

Large Language Models Generative AI LLM AI 118

AWS Machine Learning Blog

JUNE 8, 2023

We have included a sample project to quickly deploy an Amazon Lex bot that consumes a pre-trained open-source LLM. This mechanism allows an LLM to recall previous interactions to keep the conversation’s context and pace. We also use LangChain, a popular framework that simplifies LLM-powered applications.

Generative AI 92

Generative AI LLM Machine Learning Large Language Models 92

ODSC - Open Data Science

OCTOBER 9, 2024

Let’s go and explore together how AI can revolutionize key areas of software development, from coding to testing, deployment, and security. These tools use machine learning models trained on vast amounts of code to assist developers in writing cleaner, more efficient code. The result? So what are you waiting for?

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40

Marktechpost

JULY 4, 2023

Applications of LLMs The chart below summarises the present state of the Large Language Model (LLM) landscape in terms of features, products, and supporting software. The software development startup landscape includes companies like Tabnine, Codiga, and Mutable AI.

Large Language Models 103

Large Language Models BERT Natural Language Processing Categorization 103

AWS Machine Learning Blog

JULY 18, 2024

With 20 years of experience in software development and group management, Hemmy is passionate about helping customers build innovative, scalable, and cost-effective solutions. Gili is helping AWS customers build new foundation models, and to leverage LLMs to innovate in their business.

Generative AI 120

Generative AI Automation Categorization Software Architect 120

Mlearning.ai

AUGUST 18, 2023

My interpretation to MLOps is similar to my interpretation of DevOps. As a software engineer your role is to write code for a certain cause. DevOps cover all of the rest, like deployment, scheduling of automatic tests on code change, scaling machines to demanding load, cloud permissions, db configuration and much more.

DevOps 52

DevOps Python ML ML Engineer 52

Mlearning.ai

JUNE 16, 2023

Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. SDLC stages Let’s review software development lifecycle first. Then software development phases are planned to deliver the software.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineering 52

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. NIM also plans to have LLM support by supporting Triton Inference Server, TensorRT-LLM, and vLLM backends.

LLM 126

LLM Deep Learning Machine Learning Large Language Models 126

AWS Machine Learning Blog

AUGUST 29, 2024

The optimized prebuilt containers enable the deployment of state-of-the-art LLMs in minutes instead of days, facilitating their seamless integration into enterprise-grade AI applications. NIM is built on technologies like NVIDIA TensorRT , NVIDIA TensorRT-LLM , and vLLM. Qing Lan is a Software Development Engineer in AWS.

Generative AI 86

Generative AI Machine Learning Deep Learning AI 86

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.

Generative AI 105

Generative AI Automation DevOps Prompt Engineering 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.

Deep Learning 111

Deep Learning Neural Network Explainability AI 111