ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Data Science LLM 52

IBM Journey to AI blog

JUNE 14, 2023

Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. 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.

Automation 258

Automation Neural Network Natural Language Processing AI 258

AWS Machine Learning Blog

MARCH 21, 2025

/samples/2003.10304/page_5.png" However, the lower and fluctuating validation Dice coefficient indicates potential overfitting and room for improvement in the models generalization performance. samples/2003.10304/page_0.png' Take your scientific document analysis to the next level and stay ahead of the curve in this rapidly evolving landscape.

Metadata 110

Metadata Convolutional Neural Networks Generative AI Data Scientist 110

Marktechpost

MAY 29, 2024

Getting Started with Deep Learning This course teaches the fundamentals of deep learning through hands-on exercises in computer vision and natural language processing. Generative AI Explained This course provides an overview of Generative AI, its concepts, applications, challenges, and opportunities.

Neural Network 91

Neural Network Natural Language Processing Large Language Models Deep Learning 91

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. Machine translation, summarization, ticket categorization, and spell-checking are among the examples.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

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.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40

Marktechpost

JULY 10, 2023

the digital image), but arises from the interaction of humans with the AI and the resulting practices that evolve from this interaction (e.g., “prompt engineering” and curation). The paper argues that human creativity in text-to-image synthesis lies not in the end product (i.e.,

Prompt Engineer 52

Prompt Engineer Prompt Engineering Explainability Deep Learning 52

ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Data Science Data Scientist 52

Mlearning.ai

JANUARY 17, 2024

350x: Application Areas , Companies, Startups 3,000+: Prompts , Prompt Engineering, & Prompt Lists 250+: Hardware, Frameworks , Approaches, Tools, & Data 300+: Achievements, Impacts on Society , AI Regulation, & Outlook 20x: What is Generative AI? Deep learning neural network.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

AssemblyAI

AUGUST 21, 2024

While much attention has been given to prompt engineering —techniques for tweaking input prompts to improve model outputs—these methods are developed on top of a bedrock of anecdotal findings. At their core, LLMs generate probability distributions over word sequences.

LLM 257

LLM Prompt Engineer Prompt Engineering Algorithm 257

AWS Machine Learning Blog

NOVEMBER 22, 2023

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. Join this session to learn how to build transformational experiences using images in Amazon Bedrock. Reserve your seat now!

ML 129

ML Generative AI Machine Learning Prompt Engineer 129

AWS Machine Learning Blog

NOVEMBER 19, 2024

Learn how analysts can build interactive dashboards rapidly, and discover how business users can use natural language to instantly create documents and presentations explaining data and extract insights beyond what’s available in dashboards with data Q&A and executive summaries. Hear from Availity on how 1.5

ML 88

ML Generative AI AI AI 88

The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. Learn more from the documentation.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

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.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Computer Vision Deep Learning 52

PyImageSearch

SEPTEMBER 11, 2023

Prompt engineering refers to crafting text inputs to get desired responses from foundational models. For example, engineered text prompts are used to query ChatGPT and get a useful or desirable response for the user. Grounding DINO) to use text prompts for segmenting objects. That’s not the case. Download the code!

Computer Vision 108

Computer Vision Prompt Engineer Prompt Engineering Deep Learning 108

ODSC - Open Data Science

NOVEMBER 19, 2024

Topological Deep Learning Made Easy with TopoX with Dr. Mustafa Hajij Slides In these AI slides, Dr. Mustafa Hajij introduced TopoX, a comprehensive Python suite for topological deep learning. The open-source nature of TopoX positions it as a valuable asset for anyone exploring topological deep learning.

Deep Learning 52

Deep Learning Data Science Neural Network BERT 52

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.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Deep Learning Natural Language Processing 52

AWS Machine Learning Blog

AUGUST 14, 2023

Prompt engineering for zero-shot and few-shot NLP tasks on BLOOM models Prompt engineering deals with creating high-quality prompts to guide the model towards the desired responses. Prompts need to be designed based on the specific task and dataset being used. Note that deploying this model requires a p4de.24xlarge

NLP 82

NLP Prompt Engineer Prompt Engineering Robotics 82

Heartbeat

MARCH 19, 2024

Large language models are foundational, based on deep learning and artificial intelligence (AI), and are usually trained on massive datasets that create the foundation of their knowledge and abilities. Prompt Engineering Prompt engineering is a critical component of LLMs. What are Large Language Models?

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Natural Language Processing 52

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. We’re committed to supporting and inspiring developers and engineers from all walks of life.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer ChatGPT 52

ODSC - Open Data Science

FEBRUARY 18, 2025

Prompt Engineers: Also known as AI Interaction Specialists, these experts craft and refine the prompts used to interact with and guide AI models, ensuring they generate high-quality, contextually relevant content and responses. Explainable AI (XAI) techniques are crucial for building trust and ensuring accountability.

Explainability 59

Explainability Automation AI AI 59

AWS Machine Learning Blog

APRIL 3, 2023

Prompt engineering for zero-shot NLP tasks on Flan-T5 models Prompt engineering deals with creating high-quality prompts to guide the model towards the desired responses. Prompts need to be designed based on the specific task and dataset being used. xlarge instance.

Natural Language Processing 90

Natural Language Processing NLP Prompt Engineer Prompt Engineering 90

Marktechpost

JULY 19, 2023

Nevertheless, it is challenging to adapt established approaches for a chained reason with tool usage to new activities and tools; this requires fine-tuning or prompt engineering specialized for a particular activity or tool.

Large Language Models 52

Large Language Models Automation Prompt Engineer Prompt Engineering 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.

Large Language Models 52

Large Language Models Metadata LLM Data Scientist 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 Machine Learning Prompt Engineer 52

AWS Machine Learning Blog

SEPTEMBER 22, 2023

Gone are the days when you need unnatural prompt engineering to get base models, such as GPT-3, to solve your tasks. We provided code explaining how to fine-tune the base model with supervised training, train the reward model, and RL training with human reference data.

Machine Learning 117

Machine Learning LLM Computer Vision Large Language Models 117

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.

Data Scientist 52

Data Scientist LLM Deep Learning Explainability 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.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

JANUARY 10, 2024

Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short. How do we figure out what is causal and what isn’t, with a brief introduction to methods of structure learning and causal discovery?

Large Language Models 52

Large Language Models Deep Learning Data Science LLM 52

AWS Machine Learning Blog

MAY 9, 2024

Although both RAG and fine-tuning have trade-offs, RAG was the optimal approach for building an AI companion on the FAST platform given their requirements for real-time accuracy, explainability, and configurability. As a fully managed service, Verisk took advantage of its deep-learning search models without additional provisioning.

Insight Engine 129

Insight Engine Generative AI LLM AI 129

Heartbeat

DECEMBER 14, 2023

LeCun received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning. Hinton is viewed as a leading figure in the deep learning community. > Finished chain. ") > Entering new AgentExecutor chain.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

The MLOps Blog

MARCH 12, 2024

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Model adaptation If employed, it typically focuses on transfer learning and retraining. using techniques like RLHF.)

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models LLM 52

Topbots

JULY 29, 2024

Content: Generative AI Fundamentals: Defining generative AI and explaining its underlying mechanisms. Best Practices for Prompt Engineering: Guidance on creating effective prompts for various tasks. Intermediate Python experience is required, but no prior machine learning skills are needed.

Generative AI 52

Generative AI Large Language Models Prompt Engineer Prompt Engineering 52

Pickl AI

AUGUST 2, 2023

ChatGPT is an advanced language model that uses deep learning techniques to process text and generate responses. It uses deep learning techniques, specifically transformers, to understand and generate human-like text. is giving you to learn the framing of ChatGPT prompts for free, join the free ChatGPT course today.

ChatGPT 52

ChatGPT Neural Network Prompt Engineer Prompt Engineering 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.

Deep Learning 52

Deep Learning Metadata Data Scientist OpenAI 52

Heartbeat

OCTOBER 19, 2023

At their core, LLMs employ deep learning techniques to understand and generate text. During training, the models learn to recognize patterns, relationships, and semantics within the text data. Users can gain deep insights into the evolution of their prompts and responses. How Do LLMs Work?

Large Language Models 52

Large Language Models Metadata LLM Deep Learning 52