ODSC - Open Data Science

JANUARY 18, 2024

Must-Have Prompt Engineering Skills, Preventing Data Poisoning, and How AI Will Impact Various Industries in 2024 Must-Have Prompt Engineering Skills for 2024 In this comprehensive blog, we reviewed hundreds of prompt engineering job descriptions to identify the skills, platforms, and knowledge that employers are looking for in this emerging field.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models Data Science 52

Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Snorkel AI

MARCH 4, 2025

Large language models (LLMs) have revolutionized how we interact with technology, enabling everything from AI-powered customer service to advanced research tools. However, as these models grow more powerful, they also become more unpredictable. Supervised fine-tuning with targeted and curated prompts and responses.

LLM 52

LLM Large Language Models Data Quality Prompt Engineer 52

AWS Machine Learning Blog

NOVEMBER 15, 2024

Model evaluation is used to compare different models’ outputs and select the most appropriate model for your use case. Model evaluation jobs support common use cases for large language models (LLMs) such as text generation, text classification, question answering, and text summarization.

Responsible AI 105

Responsible AI Prompt Engineer Prompt Engineering AI 105

Marktechpost

DECEMBER 8, 2024

In large language models (LLMs), hallucination refers to instances where models generate semantically or syntactically plausible outputs but are factually incorrect or nonsensical. Employ Data Templates With data quality, implementing data templates offers another layer of control and precision.

Prompt Engineering 111

Prompt Engineering Prompt Engineer Large Language Models LLM 111

Flipboard

JUNE 17, 2023

Without changing the model parameters, large language models have in-context learning skills that allow them to complete a job given only a small number of instances. One model may be used for various tasks because of its task-agnostic nature.

LLM 145

LLM Large Language Models NLP Prompt Engineer 145

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. Sonnet across various tasks.

LLM 91

LLM Prompt Engineer Prompt Engineering Generative AI 91

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.

Generative AI 106

Generative AI Machine Learning AI AI 106

ODSC - Open Data Science

NOVEMBER 20, 2024

This approach, he noted, applies equally to leveraging AI in areas like data management, marketing, and customer service. Right now, effective prompt engineering requires a careful balance of clarity, specificity, and contextual understanding to get the most useful responses from an AI model.

Generative AI 71

Generative AI Prompt Engineering Prompt Engineer Data Quality 71

The MLOps Blog

JUNE 27, 2023

W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Snorkel AI

MARCH 4, 2025

Large language models (LLMs) have revolutionized how we interact with technology, enabling everything from AI-powered customer service to advanced research tools. However, as these models grow more powerful, they also become more unpredictable. Supervised fine-tuning with targeted and curated prompts and responses.

LLM 59

LLM Large Language Models Data Quality Prompt Engineer 59

AWS Machine Learning Blog

APRIL 17, 2023

Quantization and compression can reduce model size and serving cost by reducing the precision of weights or reducing the number of parameters via pruning or distillation. Compilation can optimize the computation graph and fuse operators to reduce memory and compute requirements of a model.

Prompt Engineer 93

Prompt Engineer Prompt Engineering Deep Learning Machine Learning 93

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. This approach, Zhang said, yields several advantages.

Large Language Models 52

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. This approach, Zhang said, yields several advantages.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Bugra Akyildiz

AUGUST 3, 2024

model size and data volume are significantly different as well as various strategies for data sampling. Articles Meta has announced the release of Llama 3.1 , latest and most capable open-source large language model (LLM) collection to date. Advantages: Privacy : Operates locally, ensuring no data leaks.

Neural Network 52

Neural Network Prompt Engineer Prompt Engineering Large Language Models 52

The MLOps Blog

SEPTEMBER 26, 2024

Hallucinations can be detected by verifying the accuracy and reliability of the model’s responses. Effective mitigation strategies involve enhancing data quality, alignment, information retrieval methods, and prompt engineering. have made a huge jump in quality compared to the first of its class, GPT 3.5. (If

LLM 72

LLM Prompt Engineer Prompt Engineering Auto-complete 72

O'Reilly Media

NOVEMBER 28, 2023

Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3% report that the difficulty of training a model is a problem. AI users are definitely facing these problems: 7% report that data quality has hindered further adoption, and 4% cite the difficulty of training a model on their data.

Generative AI 137

Generative AI AI AI Data Analysis 137

Bugra Akyildiz

SEPTEMBER 8, 2024

Some of the other key dimensions and themes that they have improved upon with regards to model development: Data Quality and Diversity: The quality and diversity of training data is crucial for model performance. 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them.

LLM 52

LLM Large Language Models Neural Network Machine Learning 52

Topbots

SEPTEMBER 11, 2023

For example, if you are working on a virtual assistant, your UX designers will have to understand prompt engineering to create a natural user flow. Besides, modern foundational models are wild things that can produce toxic, wrong, and harmful outputs, so you will set up additional guardrails to reduce these risks.

UX Design 59

UX Design AI AI Automation 59

AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses.

Generative AI 137

Generative AI ML LLM AI 137

Unite.AI

JANUARY 22, 2025

It emerged to address challenges unique to ML, such as ensuring data quality and avoiding bias, and has become a standard approach for managing ML models across business functions. With the rise of large language models (LLMs), however, new challenges have surfaced.

Prompt Engineer 203

Prompt Engineer Prompt Engineering Large Language Models LLM 203

Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

Natural Language Processing 204

Natural Language Processing Large Language Models Data Scarcity LLM 204

Unite.AI

SEPTEMBER 4, 2023

Large Language Models (LLMs) capable of complex reasoning tasks have shown promise in specialized domains like programming and creative writing. Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding.

ChatGPT 290

ChatGPT Auto-complete Large Language Models LLM 290

ODSC - Open Data Science

MARCH 24, 2025

Organizations are wary of fully autonomous decision-making because AI, particularly large language models, can produce errors or hallucinations. Gary identified three major roadblocks: Data Quality and Integration AI models require high-quality, structured, and connected data to function effectively.

Automation 52

Automation Data Analysis Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

SEPTEMBER 9, 2024

Generative artificial intelligence (AI) has revolutionized this by allowing users to interact with data through natural language queries, providing instant insights and visualizations without needing technical expertise. This can democratize data access and speed up analysis. either through their website or mobile app.

Software Architect 111

Software Architect Generative AI AI AI 111

ODSC - Open Data Science

SEPTEMBER 20, 2023

ODSC West Confirmed Sessions Pre-Bootcamp Warmup and Self-Paced Sessions Data Literacy Primer* Data Wrangling with SQL* Programming with Python* Data Wrangling with Python* Introduction to AI* Introduction to NLP Introduction to R Programming Introduction to Generative AI Large Language Models (LLMs) Prompt Engineering Introduction to Fine-Tuning LLMs (..)

Data Science 52

Data Science Large Language Models Machine Learning Python 52

TransOrg Analytics

OCTOBER 3, 2024

AI technologies, particularly large language models (LLMs) like GPT, are becoming critical tools for generating insights from vast datasets. In 2024, AI will be increasingly operationalized, automating data processes, optimizing workflows, and enhancing decision-making across industries.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Integration Machine Learning 52

TransOrg Analytics

OCTOBER 3, 2024

AI technologies, particularly large language models (LLMs) like GPT, are becoming critical tools for generating insights from vast datasets. In 2024, AI will be increasingly operationalized, automating data processes, optimizing workflows, and enhancing decision-making across industries.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Integration Machine Learning 52

Topbots

JUNE 6, 2023

Parameter-efficient fine-tuning (PEFT) identifies this subset and “freezes” the other weights, which allows to heavily reduce resource usage while achieving a more stable performance of the model. Developers can now focus on efficient prompt engineering and quick app prototyping.[11] Scaling Laws for Neural Language Models. [7]

LLM 105

LLM ChatGPT Prompt Engineer Prompt Engineering 105