AWS Machine Learning Blog

JULY 10, 2024

By understanding and optimizing each stage of the prompting lifecycle and using techniques like chaining and routing, you can create more powerful, efficient, and effective generative AI solutions. Let’s dive into the new features in Amazon Bedrock and explore how they can help you transform your generative AI development process.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

As a testament to the rigor IBM puts into the development and testing of its foundation models, IBM will indemnify clients against third party IP claims against IBM-developed foundation models. The latest open-source LLM model we added this month includes Meta’s 70 billion parameter model Llama 2-chat inside the watsonx.ai

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Towards AI

JULY 27, 2024

We will also discuss how it differs from the most popular generative AI tool ChatGPT. Claude AI Claude AI is developed by Anthropic, an AI startup company backed by Google and Amazon, and is dedicated to developing safe and beneficial AI. ChatGPT vs. Claude AI: How do they differ?

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ChatGPT Prompt Engineer Prompt Engineering Explainability 119

AWS Machine Learning Blog

SEPTEMBER 1, 2023

In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps). Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps.

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AWS Machine Learning Blog

OCTOBER 6, 2023

The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can organize customer feedback and recommend products based on descriptions and purchase behaviors. The agent sends the personalized email campaign to the end user.

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Towards AI

NOVEMBER 5, 2024

What happened this week in AI by Louie This week, we saw many more incremental model updates in the LLM space, together with further evidence of LLM coding assistants gaining traction. Microsoft’s GitHub Copilot is also enhancing its LLM-powered coding toolkit and expanding beyond its OpenAI dependency. and Gemini 1.5

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AWS Machine Learning Blog

DECEMBER 5, 2024

Technical standards, such as ISO/IEC 42001, are significant because they provide a common framework for responsible AI development and deployment, fostering trust and interoperability in an increasingly global and AI-driven technological landscape.

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ODSC - Open Data Science

OCTOBER 3, 2024

From October 29th to 31st, we’ve curated a schedule packed with over 150 hands-on workshops and expert-led talks designed to help you sharpen your skills and elevate your role as a data scientist or AI professional. Here’s a guide on how to use three popular ones: Llama, Mistral AI, and Claude. Got an LLM That Needs Some Work?

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Towards AI

NOVEMBER 7, 2024

P.S. We will soon release an extremely in-depth ~90-lesson practical full stack “LLM Developer” conversion course. This new course is already available for pre-order on our new Towards AI Academy course platform. Learn AI Together Community section! AI poll of the week!

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Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It includes lessons on vector search and text embeddings, practical demos, and a hands-on lab.

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Chatbots Life

AUGUST 31, 2023

Certifications : Get certified in Conversational UX and AI Development with ChatGPT/BARD. Holistic Curriculum : From Prompt Engineering to Knowledge Bases, we’ve got you covered. Join us to dive deep into the evolving world of chatbots, AI, and UX. Event Highlights: - ? Date(s) : Nov 1st, 2nd & 3rd, 2023 - ?

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Towards AI

FEBRUARY 15, 2023

But it is difficult to know how the ecosystem will play out and what capabilities and products will be built into the LLMs and owned by the likes of OpenAI, Microsoft, and Google and which will be performed by the surrounding startup ecosystem. Hottest News 1. This article explains why. […]

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Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 98

ODSC - Open Data Science

OCTOBER 24, 2024

Time is running out to get your pass to the can’t-miss technical AI conference of the year. Our incredible lineup of speakers includes world-class experts in AI engineering, AI for robotics, LLMs, machine learning, and much more. Register here before we sell out!

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Topbots

NOVEMBER 27, 2023

AI assistants automate the completion of frequently used functions and code statements, minimizing repetitive typing and reducing the likelihood of errors. AI developer tools generate initial drafts of new code, providing a solid foundation for further development and accelerating the coding process. Code Generation.

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Towards AI

SEPTEMBER 22, 2023

As an AI practitioner, how do you feel about the recent AI developments? Besides your excitement for its new power, have you wondered how you can hold your position in the rapidly moving AI stream? However, with the advent of LLM, everything has changed. One example is prompt engineering.

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AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Marktechpost

OCTOBER 3, 2024

The study found that providing physicians access to GPT-4, an LLM, did not significantly enhance their diagnostic reasoning for complex clinical cases, despite the LLM alone outperforming both human participants. GPT-4 alone outperformed humans using conventional methods, scoring significantly higher diagnostic accuracy (p=0.03).

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ODSC - Open Data Science

NOVEMBER 8, 2023

Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. There’s a lot to learn for those looking to take a deeper dive into generative AI and actually develop those tools that others will use.

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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 Generative AI for Software Development by DeepLearning.ai

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ODSC - Open Data Science

OCTOBER 6, 2023

Be sure to check out his talk, “ Prompt Optimization with GPT-4 and Langchain ,” there! The difference between the average person using AI and a Prompt Engineer is testing. Most people run a prompt 2–3 times and find something that works well enough.

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Unite.AI

AUGUST 4, 2023

This, coupled with the challenges of understanding AI concepts and complex algorithms, contributes to the learning curve associated with developing applications using LLMs. Nevertheless, the integration of LLMs with other tools to form LLM-powered applications could redefine our digital landscape.

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Heartbeat

OCTOBER 5, 2023

Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering. LLMOps: LLMs excel at learning from raw data, making feature engineering less relevant. The focus shifts towards prompt engineering and fine-tuning.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

Prompt catalog – Crafting effective prompts is important for guiding large language models (LLMs) to generate the desired outputs. Prompt engineering is typically an iterative process, and teams experiment with different techniques and prompt structures until they reach their target outcomes.

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ODSC - Open Data Science

OCTOBER 5, 2023

The Prompt Optimization Stack A lot goes into successful prompt engineering. However, with this thorough prompt optimization guide, you’ll know exactly how to perfect this new art. As large language models gain importance, it’s now more needed than ever to develop maintenance and deployment frameworks — enter LLMOps.

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ODSC - Open Data Science

SEPTEMBER 13, 2024

Keynotes Both in-person and virtually, we had some amazing keynote speakers who told the audience about their research, expertise, use cases, or state-of-the-art developments.

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Bugra Akyildiz

AUGUST 3, 2024

Articles Meta has announced the release of Llama 3.1 , latest and most capable open-source large language model (LLM) collection to date. models for enhanced security Sample Applications: Developed reference implementations for common use cases (e.g., Today, we had a special issue with Llama3.1

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Neural Network Prompt Engineer Prompt Engineering Large Language Models 52

ODSC - Open Data Science

DECEMBER 18, 2024

Master the key components of AI Agents LLMs, prompts, memory, and tools and build specialized systems that adapt and interact intelligently within their environment. Learn how to use LangChain to design and deploy powerful LLM applications , including core concepts like data sourcing and advanced prompt engineering.

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AWS Machine Learning Blog

MAY 9, 2024

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices. AI/ML Specialist Solutions Architect at AWS, based in Virginia, US. Vikram Elango is a Sr.

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Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. In particular, he highlighted his company’s Demonstrate-Search-Predict framework which abstracts away aspects of using foundation models, such as prompt engineering.

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Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. In particular, he highlighted his company’s Demonstrate-Search-Predict framework which abstracts away aspects of using foundation models, such as prompt engineering.

Data Scientist 52

Data Scientist Large Language Models Machine Learning Auto-complete 52

Snorkel AI

OCTOBER 17, 2023

The AI development game is going to be a lot more architecting evaluation benchmarks, versus the model itself. How you engineer the test set matters a ton for whether the model actually works in the real world. ” Alex Ratner, Snorkel GM: It’s funny, people treat “prompt engineer” as a derogatory term.

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Large Language Models NLP Prompt Engineer Prompt Engineering 64

Snorkel AI

APRIL 16, 2024

I think we’ve always had a belief that data is at the center of the AI development process. But these are all within the realm of prompt engineering. You could get away with just doing prompting and serving these models immediately. PV: That’s exactly right. That’s what worries me.

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Large Language Models ML LLM Generative AI 52

Snorkel AI

APRIL 16, 2024

I think we’ve always had a belief that data is at the center of the AI development process. But these are all within the realm of prompt engineering. You could get away with just doing prompting and serving these models immediately. PV: That’s exactly right. That’s what worries me.

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Large Language Models ML LLM Generative AI 52

Topbots

SEPTEMBER 11, 2023

AI development is a highly collaborative enterprise. In traditional software development, you work with a relatively clear dichotomy consisting of the backend and the frontend components. The different components of your AI system will interact with each other in intimate ways.

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Snorkel AI

OCTOBER 17, 2023

The AI development game is going to be a lot more architecting evaluation benchmarks, versus the model itself. How you engineer the test set matters a ton for whether the model actually works in the real world. ” Alex Ratner, Snorkel GM: It’s funny, people treat “prompt engineer” as a derogatory term.

Large Language Models 59

Large Language Models NLP Prompt Engineer Prompt Engineering 59

Viso.ai

FEBRUARY 21, 2024

For the end-user, these prompts are part of the LLM interface, which they use to interact with the model. In short, prompts are instructions in the form of natural text, images, or just data that help the model perform certain tasks. The quality and performance of the LLM depend on the quality of the prompt it is given.

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