Heartbeat

FEBRUARY 27, 2024

Multilingual prompt engineering is the art and science of creating clear and precise instructions for AI models that understand and respond in multiple languages. This article discusses the difficulties that multilingual prompt engineering encounters and solutions to those difficulties.

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AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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OpenAI Prompt Engineer Prompt Engineering Large Language Models 249

AI News

NOVEMBER 15, 2023

As McLoone explains, it is all a question of purpose. “I So you get these fun things where you can say ‘explain why zebras like to eat cacti’ – and it’s doing its plausibility job,” says McLoone. “It It teaches the LLM to recognise the kinds of things that Wolfram|Alpha might know – our knowledge engine,” McLoone explains.

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Marktechpost

MAY 29, 2024

Generative AI Explained This course provides an overview of Generative AI, its concepts, applications, challenges, and opportunities. Disaster Risk Monitoring Using Satellite Imagery This course teaches how to build and deploy deep learning models to detect flood events using satellite imagery.

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Neural Network Large Language Models Natural Language Processing Prompt Engineer 88

ODSC - Open Data Science

DECEMBER 19, 2023

They need to be able to explain complex technical concepts to non-technical stakeholders and to identify and solve problems that arise during the development and implementation of AI models. Prompt Engineer Prompt engineers are in the wild west of AI. Interested in attending an ODSC event?

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AI Product Manager AI Product Management Prompt Engineer Prompt Engineering 96

ODSC - Open Data Science

DECEMBER 21, 2023

Conditional Probability and Bayes’ Theorem Simply Explained Here, we will cover the two core ideas in Bayesian statistics: conditional probability and Bayes’ theorem. Learn from leading experts in LLMs, Generative AI, Prompt Engineering, Machine Learning, and more. Grab your tickets for 70% off by Friday! Register here!

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LLM Prompt Engineer Prompt Engineering Data Science 98

Unite.AI

SEPTEMBER 15, 2023

Crafting a Persona with Prompt Engineering One of the fascinating avenues to establish a ChatGPT persona is using prompt engineering techniques. By carefully designing the initial prompt or set of instructions, one can set the tone and behavior for the AI.

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ChatGPT Prompt Engineer Prompt Engineering Conversational AI 314

ODSC - Open Data Science

SEPTEMBER 20, 2023

Start with a clear and concise instruction or question in your prompt. For example, if you want a summary of a historical event, you might begin with, “Provide a concise summary of the American Civil War in three sentences.” Instead of just asking a question, demonstrate the desired response in your prompt.

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Generative AI Large Language Models Explainability LLM 98

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. Interested in attending an ODSC event? Learn more about our upcoming events here.

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Large Language Models LLM Data Science Data Scientist 97

Towards AI

FEBRUARY 15, 2023

This week we published a new blog Learn Prompting 101: Prompt Engineering Course & Challenges as a summary of Prompt Engineering and how to talk to LLMs and get the most out of them. This forms an introduction to the comprehensive open-source Learn Prompting course that we have contributed to.

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Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 87

Heartbeat

DECEMBER 20, 2023

This level of interaction is made possible through prompt engineering, a fundamental aspect of fine-tuning language models. By carefully choosing prompts, we can shape their behavior and enhance their performance in specific tasks. The Iterative Process of Prompt Refinement Prompt engineering is not a one-size-fits-all process.

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Prompt Engineer Prompt Engineering Deep Learning Natural Language Processing 52

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.

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Large Language Models LLM Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

SEPTEMBER 20, 2023

Confirmed Extra Events Halloween Data After Dark AI Expo and Demo Hall Virtual Open Spaces Morning Run Day 3: Wednesday, November 1st (Bootcamp, Platinum, Gold, Silver, VIP, Virtual Platinum, Virtual Premium) The third day of ODSC West 2023, will be the second and last day of the Ai X Business and Innovation Summit and the AI Expo and Demo Hall.

Large Language Models 52

Large Language Models Data Science Machine Learning Prompt Engineer 52

IBM Journey to AI blog

JUNE 14, 2023

This is usually text, but it can also be code, IT events, time series, geospatial data, or even molecules. It usually takes a certain amount of trial and error to craft the right prompt that can enables the model to generate the desired result, a new field called prompt engineering.

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Automation AI AI Neural Network 214

Heartbeat

MARCH 19, 2024

Like machine learning operations, LLMOps involves efforts from several contributors, like prompt engineers, data scientists, DevOps engineers, business analysts, and IT operations. This is, in fact, a baseline, and the actual LLMOps workflow usually involves more stakeholders like prompt engineers, researchers, etc.

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Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

Heartbeat

AUGUST 4, 2023

To see this capability effectively in applications, it is necessary to direct the language model with the correct prompt entries. Performing this process well is now defined as a profession: prompt engineering. These prompts have been actively used for the past year to enable image generation tasks such as DALL-E and Midjourney.

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Prompt Engineer Prompt Engineering Computer Vision Deep Learning 52

ODSC - Open Data Science

NOVEMBER 20, 2023

Prompt Optimization with GPT-4 and Langchain Mike Taylor | Owner | Saxifrage In this session, Mike Taylor discusses how you can use prompt engineering at scale — as part of a template, workflow, or product. Interested in attending an ODSC event? Learn more about our upcoming events here.

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Prompt Engineer Prompt Engineering Large Language Models LLM 52

IBM Journey to AI blog

OCTOBER 25, 2023

Prioritizing generative AI use cases Within IT operations, generative AI use cases include automatic triaging of systems to adhere to service-level objectives; managing, communicating, providing assistance and resolving queries and tickets; and event and anomaly detection and management.

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Generative AI Automation AI AI 208

ODSC - Open Data Science

FEBRUARY 6, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. The session will explain and dive into both top-down workflows and bottom-up workflows.

Large Language Models 52

Large Language Models LLM Big Data NLP 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

And although generative AI has appeared in previous events, this year we’re taking it to the next level. Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. Reserve your seat now!

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ML Generative AI Prompt Engineer Prompt Engineering 103

Heartbeat

AUGUST 2, 2023

This can limit their ability to provide the latest and most accurate information, especially in rapidly evolving domains or current events. Few techniques that are commonly used in prompt engineering are: Role prompting  — where we specify our role and the domain in which we are expecting the answer to be.

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Large Language Models Prompt Engineer Prompt Engineering OpenAI 52

Heartbeat

FEBRUARY 13, 2024

Open LLM Leaderboard - a Hugging Face Space by HuggingFaceH4 In this article, the learning path I explain is primarily associated with building LLM solutions based on open-source LLMS. We're committed to supporting and inspiring developers and engineers from all walks of life. We pay our contributors, and we don't sell ads.

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Data Scientist LLM Deep Learning Prompt Engineer 52

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.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

JANUARY 10, 2024

Learn more about our first-announced sessions coming to the event this April 23rd-25th below. Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short. Interested in attending an ODSC event? Learn more about our upcoming events here.

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Large Language Models LLM Deep Learning ML 52

Heartbeat

SEPTEMBER 19, 2023

Comet’s LLMOps tool provides an intuitive and responsive view of our prompt history. Prompt Playground: With the LLMOps tool comes the new Prompt Playground, which allows Prompt Engineers to iterate quickly with different Prompt Templates and understand the impact on different contexts. Create a new project.

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Large Language Models Metadata LLM Data Scientist 52

Heartbeat

NOVEMBER 1, 2023

Maintenance Changes to shared prompt logic only need to happen in one place rather than everywhere a prompt is defined. So in summary, prompt templates improve reusability, modularity and maintenance of prompt engineering code compared to using raw prompt strings directly. This improves maintainability.

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LLM Prompt Engineer Prompt Engineering Data Scientist 52

Heartbeat

FEBRUARY 8, 2024

Tracking and Monitoring with Comet When creating applications with LLMs, most of the time is spent on prompt engineering rather than training the models. Comet has a rich set of features for LLMOps: LLM Projects: It is designed for analyzing prompts, responses, and chaining. This has introduced a new area of expertise: LLMOps.

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Conversational AI Chatbots LLM Prompt Engineer 52

Snorkel AI

JUNE 9, 2023

Snorkel Co-Founder and CEO Alex Ratner kicked off the day’s events by giving attendees a peek into Snorkel’s new Foundation Model Data Platform, which includes solutions to develop and adapt large language models and foundation models. If you registered for the event but didn't see all the sessions you wanted, you can now catch up.

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Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel Co-Founder and CEO Alex Ratner kicked off the day’s events by giving attendees a peek into Snorkel’s new Foundation Model Data Platform, which includes solutions to develop and adapt large language models and foundation models. If you registered for the event but didn't see all the sessions you wanted, you can now catch up.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

ODSC - Open Data Science

OCTOBER 27, 2023

We use Amazon Textract’s document extraction abilities with LangChain to get the text from the document and then use prompt engineering to identify the possible document category. Refer to this GitHub repository for a full set of Python Notebooks that explain the process step-by-step in detail.

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IDP LLM Large Language Models AI 98

AWS Machine Learning Blog

APRIL 18, 2024

The workflow includes the following steps: The function is invoked by an event from the AVM layer, containing the architecture description. The function invokes the Amazon Bedrock model twice, following recommended prompt engineering guidelines. Add comments explaining the overall architecture and the purpose of each resource.”

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Heartbeat

JANUARY 9, 2024

You can adapt foundation models to downstream tasks in the following ways: Prompt Engineering: Prompt engineering is a powerful technique that enables LLMs to be more controllable and interpretable in their outputs, making them more suitable for real-world applications with specific requirements and constraints.

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Large Language Models Natural Language Processing LLM Machine Learning 52

Heartbeat

FEBRUARY 22, 2024

From here, we can do much more, like using the Comet UI to score our prompt outputs or to search from specific prompts. This is helpful when working with thousands of prompts. All of these and much more were covered in this article: Organize Your Prompt Engineering with CometLLM.

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Artificial Intelligence Artificial Intelligence LLM OpenAI 52

Heartbeat

FEBRUARY 9, 2024

I will explain it in detail in the next paragraphs in this article. We’re committed to supporting and inspiring developers and engineers from all walks of life. In addition to PromptTemplate, LLMChain provides additional functionality and allows you to enhance your tasks with features such as pre-processing and post-processing steps.

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LLM OpenAI Machine Learning Deep Learning 52

Heartbeat

NOVEMBER 24, 2023

We’re committed to supporting and inspiring developers and engineers from all walks of life. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. We pay our contributors, and we don’t sell ads.

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Deep Learning Metadata OpenAI Data Scientist 52

Heartbeat

NOVEMBER 22, 2023

Returns: The method returns a dictionary with the following keys: reasoning : Explains why one prediction is preferred over the other. ", input="Explain the theory of relativity in a sentence.", We’re committed to supporting and inspiring developers and engineers from all walks of life.

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LLM Explainability Metadata Deep Learning 52

Heartbeat

DECEMBER 13, 2023

We've got a year-by-year recap of events before you jump into season 2! Useful for when you need to answer general questions about people, places, companies, facts, historical events, or other subjects. Useful for when you need to answer general questions about people, places, companies, facts, historical events, or other subjects.

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LLM Metadata Deep Learning Automation 52