AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. The code for all the steps in this demo is available in the following notebook.

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NLP Robotics Prompt Engineer Prompt Engineering 92

AWS Machine Learning Blog

DECEMBER 14, 2023

This technique is particularly useful for knowledge-intensive natural language processing (NLP) tasks. In this post, we demonstrate how to harness the power of RAG to enhance the prompts sent to your Stable Diffusion models. Effective prompts should provide clear instructions while leaving room for creativity.

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Natural Language Processing Prompt Engineer Prompt Engineering LLM 129

AWS Machine Learning Blog

DECEMBER 5, 2024

Used alongside other techniques such as prompt engineering, RAG, and contextual grounding checks, Automated Reasoning checks add a more rigorous and verifiable approach to enhancing the accuracy of LLM-generated outputs. Click on the image below to see a demo of Automated Reasoning checks in Amazon Bedrock Guardrails.

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Responsible AI AI Tools AI AI 117

Chatbots Life

MAY 12, 2023

As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers.

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ChatGPT Software Engineer NLP Prompt Engineer 105

AWS Machine Learning Blog

DECEMBER 22, 2023

Amazon Lex supplies the natural language understanding (NLU) and natural language processing (NLP) interface for the open source LangChain conversational agent embedded within an AWS Amplify website. on Amazon Bedrock to complete the desired task through a series of carefully self-generated text inputs known as prompts. Outputs[?

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Generative AI Automation Chatbots AI 132

Heartbeat

AUGUST 4, 2023

SAM Demo of Photo by Andre Hunter on Unsplash Natural Language Processing (NLP) studies have revolutionized in the last five years with large datasets and pre-trained, zero-shot, and few-shot generalizations. Performing this process well is now defined as a profession: prompt engineering.

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Prompt Engineer Prompt Engineering Computer Vision Deep Learning 52

John Snow Labs

SEPTEMBER 26, 2024

Audience Takeaways: Hands-on Resources: Attendees will see an interactive demo of the working code Free community: Opportunity to join and learn from the author’s Generative AI community. Best Practices Guide: PDF detailing optimal workflows, prompt engineering techniques with lessons learnt.

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Prompt Engineer Prompt Engineering Generative AI Automation 52

ODSC - Open Data Science

APRIL 21, 2023

With its applications in creativity, automation, business, advancements in NLP, and deep learning, the technology isn’t only opening new doors, but igniting the public imagination. Once the workshop is over, participants will have fine-tuned and prompt-engineered state-of-the-art models like BART and XLM-Roberta.

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Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

SEPTEMBER 20, 2023

Now if you want to take your prompting to the next level, then you don’t want to miss ODSC West’s LLM Track. With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field.

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Generative AI Large Language Models Explainability Data Science 98

Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. Serged on all sides for durability. We needed to iterate!

LLM 52

LLM Prompt Engineer Prompt Engineering NLP 52

ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. With a Virtual Open Pass , you can be part of where the future of AI gathers for free. So, don’t delay.

Data Science 52

Data Science Machine Learning Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

FEBRUARY 6, 2024

NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn | Chief Data Scientist | Nebula.io You’ll explore the breadth of capabilities of state-of-the-art LLMs like GPT-4 can deliver through hands-on code demos that leverage the Hugging Face and PyTorch Lightning Python libraries.

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Large Language Models LLM Big Data Data Science 52

AWS Machine Learning Blog

APRIL 17, 2023

Prompt engineering Prompt engineering refers to efforts to extract accurate, consistent, and fair outputs from large models, such text-to-image synthesizers or large language models. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

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Prompt Engineer Prompt Engineering Deep Learning Large Language Models 107

ODSC - Open Data Science

MAY 21, 2024

At ODSC Europe 2024, you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, RAGs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

Data Science 52

Data Science Continuous Learning Deep Learning Machine Learning 52

Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. Serged on all sides for durability. We needed to iterate!

LLM 52

LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

Snorkel AI

AUGUST 9, 2023

However, as enterprises begin to look beyond proof-of-concept demos and toward deploying LLM-powered applications on business-critical use cases, they’re learning that these models (often appropriately called “ foundation models ”) are truly foundations, rather than the entire house. Serged on all sides for durability. We needed to iterate!

LLM 52

LLM Prompt Engineer Prompt Engineering Artificial Intelligence 52

ODSC - Open Data Science

SEPTEMBER 26, 2023

At ODSC West 2023 , you’ll find an unprecedented breadth and depth of content, with hands-on training sessions on the latest advances in Generative AI, LLMs, Prompt Engineering, Machine Learning, Deep Learning, MLOps, Data Engineering, and much, much more.

Data Science 52

Data Science Data Scientist Continuous Learning Deep Learning 52

Applied Data Science

DECEMBER 23, 2022

Linking to demos so that you can also review them yourself Have you been finding the leaps of AI in the last past years impressive? Biology We provide links to all currently available demos: many of this year’s inventions come with a demo that allows you to personally interact with a model. Text-to-Image generation ?

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Neural Network Data Science AI AI 52

ODSC - Open Data Science

FEBRUARY 8, 2024

NLP with GPT-4 and other LLMs: From Training to Deployment with Hugging Face and PyTorch Lightning Dr. Jon Krohn | Chief Data Scientist | Nebula.io You’ll explore the breadth of capabilities of state-of-the-art LLMs like GPT-4 can deliver through hands-on code demos that leverage the Hugging Face and PyTorch Lightning Python libraries.

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Big Data Large Language Models Deep Learning Data Science 52

Snorkel AI

OCTOBER 13, 2023

Improved response times: Customized models require fewer tokens in their prompts, allowing the model to arrive at an answer more quickly. This reduces prompt engineering and delivers users an acceptable response in fewer attempts, thereby reducing costs. Book a demo today. Turbo via OpenAI’s APIs in a standard notebook.

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Prompt Engineer Prompt Engineering Large Language Models OpenAI 52

Snorkel AI

NOVEMBER 28, 2023

Improved response times: Customized models require fewer tokens in their prompts, allowing the model to arrive at an answer more quickly. This reduces prompt engineering and delivers users an acceptable response in fewer attempts, thereby reducing costs. Book a demo today. See what Snorkel option is right for you.

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Prompt Engineer Prompt Engineering Large Language Models LLM 52

ODSC - Open Data Science

JULY 26, 2024

You’ll also be introduced to prompt engineering, a crucial skill for optimizing AI interactions. In NLP, the Generative Pre-trained Transformer (GPT) has demonstrated impressive performance via training one general-purpose model across various textual datasets.

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Data Scientist Robotics Metadata Data Science 52

Snorkel AI

MARCH 15, 2023

I work at Cohere , which is working to make NLP (Natural Language Processing) part of every developer’s toolkit. Text generation is one of the two families of NLP models that we work with at Cohere. Ideas like prompt engineering, multi-generation, using these models for data augmentation.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering AI 52

Snorkel AI

MARCH 15, 2023

I work at Cohere , which is working to make NLP (Natural Language Processing) part of every developer’s toolkit. Text generation is one of the two families of NLP models that we work with at Cohere. Ideas like prompt engineering, multi-generation, using these models for data augmentation.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering AI 52

Snorkel AI

JANUARY 16, 2024

AR: I’ve heard others say that the advent of prompt engineering and all the novel and sometimes hilarious strategies for prompting are really signs of the lack of robustness—or the failure of robustness and stability—of current models. This is one big issue I have with prompt engineering these days.

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Prompt Engineer Prompt Engineering Neural Network Algorithm 52

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. When prompted for a classification task, a genAI LLM may give a reasonable baseline, but prompt engineering and fine-tuning can only take you so far. Book a demo today. In-context learning. See what Snorkel option is right for you.

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Generative AI BERT LLM Prompt Engineer 52

Heartbeat

JANUARY 26, 2024

Four prompts are introduced into the model in the following order: conversation.predict(input="Hey! .") ") In the demo, the prompt contains an ongoing conversation, and the model tracks a set number of recent interactions. Cons: Potential loss of early conversation context.

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Metadata LLM OpenAI Chatbots 52

Topbots

SEPTEMBER 11, 2023

This approach leads them straight into the integration fallacy: even if these experts and engineers produce exceptional models and algorithms, their outputs often get stuck at the level of playgrounds, sandboxes, and demos, and never really become full-fledged parts of a product.

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UX Design AI AI Automation 59

Viso.ai

FEBRUARY 21, 2024

The quality and performance of the LLM depend on the quality of the prompt it is given. Prompt engineering allows users to construct optimal prompts to improve the LLM response. This article will guide readers step by step through AI prompt engineering and discuss the following: What is a Prompt?

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Prompt Engineer Prompt Engineering Computer Vision LLM 52

Snorkel AI

DECEMBER 14, 2023

Many organizations pursue model-centric iteration, such as hyper-parameter tuning and prompt engineering. Our Snorkel Custom program puts our world-class engineers and researchers to work on your most promising challenges to deliver data sets or fully-built LLM or generative AI applications, fast. Book a demo today.

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Categorization Data Scientist Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

MARCH 19, 2024

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. In particular, CoT has been shown to elicit reasoning in complex NLP tasks.

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Auto-complete NLP Prompt Engineer Prompt Engineering 135

Unite.AI

SEPTEMBER 4, 2023

For those interested in experiencing this, a live demo is available at Llama2.ai. This user-centric design aims to simplify interactions with Llama 2, making it an ideal tool for both developers and end-users. ai Llama 2: What makes it different from GPT Models and its predecessor Llama 1?

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ChatGPT Auto-complete Large Language Models LLM 290

AWS Machine Learning Blog

NOVEMBER 1, 2023

The demo implementation code is available in the following GitHub repo. He is a dedicated applied AI/ML researcher, concentrating on CV, NLP, and multimodality. Solution overview The proposed VLP solution integrates a suite of state-of-the-art generative AI modules to yield accurate multimodal outputs.

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Auto-classification LLM Auto-complete Generative AI 128

AWS Machine Learning Blog

OCTOBER 23, 2024

The following demo shows Agent Creator in action. It facilitates the seamless customization of FMs with enterprise-specific data using advanced techniques like prompt engineering and RAG so outputs are relevant and accurate. He focuses on Deep learning including NLP and Computer Vision domains.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. This day will have a strong focus on intermediate content, as well as several sessions appropriate for data practitioners at all levels. What’s next?

Large Language Models 52

Large Language Models Data Science Machine Learning Prompt Engineer 52

ODSC - Open Data Science

OCTOBER 16, 2023

For example, where does prompt engineering fit into the pipeline? With a full track devoted to NLP and LLMs , you’ll enjoy talks, sessions, events, and more that squarely focus on this fast-paced field. The best place to do this is at ODSC West 2023 this October 30th to November 2nd.

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Large Language Models Data Science LLM Data Scientist 97

ODSC - Open Data Science

OCTOBER 4, 2023

At the conference, you’ll find hands-on training sessions, workshops, and talks on LLMs , Generative AI , and prompt engineering. Personalizing LLMs with a Feature Store Jim Dowling | CEO | Hopsworks This session will show you how to personalize LLMs using a feature store and prompt engineering. Sign me up!

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Large Language Models LLM Prompt Engineer Prompt Engineering 52