Viso.ai

SEPTEMBER 12, 2024

AI licensing does not simply follow a legal process; in fact, it governs a major aspect—how AI technologies should be used, distributed, and modified. The kind of AI license selected can help decide the integration, sharing, or commercialization of AI models.

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AI AI Responsible AI Computer Vision 52

Unite.AI

MAY 6, 2024

The bulk of Persistent Systems business comes from building software for enterprises, how has the advent of generative AI transformed how your team operates? The advent of generative AI (GenAI) has transformed how our team operates at Persistent, particularly in enterprise software development.

Automation 147

Automation Software Engineer Generative AI Software Development 147

AWS Machine Learning Blog

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 120

Generative AI Chatbots AI AI 120

AWS Machine Learning Blog

NOVEMBER 19, 2024

As you browse the re:Invent catalog , select your learning topic and use the “Generative AI” area of interest tag to find the sessions most relevant to you. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

ML 83

ML Generative AI AI AI 83

Topbots

JULY 29, 2024

Here are the courses we cover: Generative AI for Everyone by DeepLearning.ai Introduction to Generative AI by Google Cloud Generative AI: Introduction and Applications by IBM ChatGPT Promt Engineering for Developers by OpenAI and DeepLearning.ai LangChain for LLM Application Development by LangChain and DeepLearning.ai

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. This logic sits in a hybrid search component.

Generative AI 108

Generative AI AI AI Responsible AI 108

Towards AI

NOVEMBER 14, 2023

It is easy to get caught up in the incredible pace of new AI model releases and capability improvements. AI has proved helpful in various fields, but ethical concerns and pitfalls must be addressed in the future. Copilot Chat will be powered by OpenAI’s GPT-4 model and is set to be available starting from December 2023.

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OpenAI AI AI ChatGPT 97

ODSC - Open Data Science

JANUARY 10, 2024

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

Large Language Models 52

Large Language Models LLM Deep Learning Data Science 52

AWS Machine Learning Blog

MAY 21, 2024

This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges. We dive into the technical aspects of our implementation and explain our decision to choose Amazon Bedrock as our foundation model provider. Bertrand d’Aure is a software developer at 20 Minutes.

Generative AI 123

Generative AI Prompt Engineer Prompt Engineering Metadata 123

AWS Machine Learning Blog

OCTOBER 15, 2024

These models provide a balance of quality, speed, and compliance, making them an invaluable asset for any organization looking to stay ahead in the competitive landscape. She has over 15 years of IT experience in software development, design, and architecture. Supriya Puragundla is a Senior Solutions Architect at AWS.

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Generative AI ML Python Responsible AI 79

AWS Machine Learning Blog

FEBRUARY 1, 2024

She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech. The following are some considerations when using RAG: Setting appropriate timeouts is important to the customer experience.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering AI 129

AWS Machine Learning Blog

JULY 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 111

Generative AI Automation Categorization Software Architect 111

ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models?

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Scientist 52

AWS Machine Learning Blog

JULY 15, 2024

About the Authors Na Yu is a Lead GenAI Solutions Architect at Mission Cloud, specializing in developing ML, MLOps, and GenAI solutions in AWS Cloud and working closely with customers. Max Goff is a data scientist/data engineer with over 30 years of software development experience. She received her Ph.D. Marco Mercado is a Sr.

Big Data 115

Big Data Big Data Engineer Generative AI ML 115

AWS Machine Learning Blog

FEBRUARY 9, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Machine Learning 137

Machine Learning Generative AI Python Explainability 137

AWS Machine Learning Blog

JUNE 25, 2024

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

Automation 119

Automation Prompt Engineer Prompt Engineering Categorization 119

Pickl AI

AUGUST 2, 2023

Its responses are based on patterns observed in the training data, which can sometimes lead to biased or untruthful outputs. Efforts are continually being made to improve AI models’ safety, robustness, and ethical usage. Overreliance on AI models may have long-term consequences for the human brain.

ChatGPT 52

ChatGPT Neural Network Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

NOVEMBER 19, 2024

With the growing complexity of generative AI models, organizations face challenges in maintaining compliance, mitigating risks, and upholding ethical standards. Amazon Bedrock Guardrails helps implement safeguards for generative AI applications based on specific use cases and responsible AI policies.

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Automation Responsible AI Generative AI Software Development 99

AWS Machine Learning Blog

OCTOBER 30, 2024

We then use generative AI, powered by Amazon Bedrock, to analyze and summarize the transcribed content, extracting key insights and generating comprehensive documentation. Intelligent processing – A Lambda function, powered by generative AI models through Amazon Bedrock, analyzes and summarizes the transcribed text.

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DevOps Generative AI Software Engineer Software Development 92

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Data interactions: Monitor data quality and usage Generative AI models such as LLMs generally work well because they have been trained on a large amount of data.

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Generative AI LLM ML AI 137

Unite.AI

AUGUST 8, 2024

Opportunities and Use Cases of LLM-MA Systems LLM-MA systems can effectively automate business processes by searching through structured and unstructured documents, generating code to query data models and performing other content generation. More LLMs and agents increase the attack surface for all AI threats.

AI Modeling 162

AI Modeling LLM Automation Responsible AI 162

AWS Machine Learning Blog

SEPTEMBER 9, 2024

The AI Service Layer and its integration with Amazon Bedrock empower Domo to offer their customers the tools they need to harness AI throughout their organization, from data exploration using natural language-driven AI chat to custom applications and automations powered by a variety of AI models.

Software Architect 112

Software Architect Generative AI AI AI 112

AWS Machine Learning Blog

SEPTEMBER 12, 2024

State-of-the-art generative AI models are averaging latencies in the order of seconds, and many of today’s massive models are too large to fit into a single instance. We believe that businesses creating customer or consumer-facing generative AI applications shouldn’t have to sacrifice performance for cost-efficiency.

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Generative AI AI AI ML 89

AWS Machine Learning Blog

JULY 10, 2024

That’s why we’re building generative AI-powered applications for everyone. Amazon Q, which includes Amazon Q Developer and Amazon Q Business , is the most capable generative AI-powered assistant for software development and helping employees make better decisions—faster—leveraging their company’s data.

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Generative AI Machine Learning LLM Automation 125

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. Model serving. Responsible AI and explainability. Allegro.io

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Machine Learning Data Scientist ML Metadata 69