ODSC - Open Data Science

MARCH 10, 2025

Starting with BERT and accelerating with the launch of GPT-3 , conference sessions on LLMs and transformers skyrocketed. The release of GPT-4 and other advanced LLMs sparked a surge in research on fine-tuning, prompt engineering, and the use of LLMs in real-world applications. Whats Next for DataScience?

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Unite.AI

JANUARY 23, 2024

Prompt engineering is crucial to steering LLMs effectively. Techniques like Word2Vec and BERT create embedding models which can be reused. BERT produces deep contextual embeddings by masking words and predicting them based on bidirectional context. LLMs utilize embeddings to understand word context.

Large Language Models 100

Large Language Models Prompt Engineering Prompt Engineer LLM 100

Marktechpost

JUNE 24, 2024

The study also identified four essential skills for effectively interacting with and leveraging ChatGPT: prompt engineering, critical evaluation of AI outputs, collaborative interaction with AI, and continuous learning about AI capabilities and limitations.

ChatGPT 116

ChatGPT Generative AI BERT NLP 116

Artificial Corner

JULY 30, 2023

Deep learning techniques can be used to automate processes that ordinarily require human intellect, such as text-to-sound transcription or the description of photographs. Prompts design is a process of creating prompts which are the instructions and context that are given to Large Language Models to achieve the desired task.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

AWS Machine Learning Blog

MAY 31, 2023

In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. For text tasks such as sentence classification, text classification, and question answering, you can use models such as BERT, RoBERTa, and DistilBERT.

Automation 80

Automation Python Machine Learning BERT 80

deepsense.ai

FEBRUARY 6, 2024

The entire process can be further automated incorporating automatic image tagging using modules like RAM or Tag2Text. Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. By using “car lamp” as a prompt, we are very likely to detect cars instead of car lamps.

Prompt Engineering 105

Prompt Engineering Prompt Engineer NLP Computer Vision 105

AssemblyAI

MAY 23, 2023

Industry leaders like Microsoft and Google recognize the importance of LLMs in driving innovation, automation, and enhancing user experiences. This trend started with models like the original GPT and ELMo, which had millions of parameters, and progressed to models like BERT and GPT-2, with hundreds of millions of parameters.

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

Pickl AI

SEPTEMBER 19, 2024

Learn how to refine prompts to boost AI accuracy and effectiveness across various applications. Introduction Artificial Intelligence (AI) is revolutionising various industries by enhancing decision-making and automating complex tasks. Prompt tuning is pivotal.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Machine Learning Artificial Intelligence 52

deepsense.ai

NOVEMBER 9, 2024

Prompt engineering Let’s start simple. With this in mind, we strongly recommend starting with prompt engineering. Tell me what you don’t know When prompting LLMs to solve a chosen problem, we can add an instruction to return an “I don’t know” answer when the model is in doubt.

Prompt Engineering 59

Prompt Engineering Prompt Engineer LLM ChatGPT 59

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. Developers working on the Snorkel Flow platform only need to consider the prompt template. Other developers may use an automation utility such as LangChain. BERT for misinformation. In-context learning. A GPT-3 model—82.5%

Generative AI 52

Generative AI BERT LLM Prompt Engineering 52

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. Developers working on the Snorkel Flow platform only need to consider the prompt template. Other developers may use an automation utility such as LangChain. BERT for misinformation. In-context learning. A GPT-3 model—82.5%

Generative AI 52

Generative AI BERT LLM Prompt Engineering 52

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. Developers working on the Snorkel Flow platform only need to consider the prompt template. Other developers may use an automation utility such as LangChain. BERT for misinformation. In-context learning. A GPT-3 model—82.5%

Generative AI 52

Generative AI BERT LLM Prompt Engineering 52

Heartbeat

AUGUST 2, 2023

Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), BERT, XLNet, and Transformer-XL, etc., It has become the backbone of many successful language models, like GPT-3, BERT, and their variants. These automated models produce instantaneous responses with minimal overhead of training time and data requirements.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer ChatGPT 52

Bugra Akyildiz

FEBRUARY 9, 2025

Reward Model The reward model automates the process of ranking model outputs, reducing the need for human annotators. Prompt engineering: Carefully designing prompts to guide the model's behavior. Bidirectional language understanding with BERT. Train a reward model to predict human preferences/rankings.

LLM 52

LLM Deep Learning Algorithm BERT 52

AWS Machine Learning Blog

DECEMBER 22, 2023

In this post, we address this challenge by augmenting this workflow with a framework for extensible, automated evaluations. These functions can be implemented in several ways, including BERT-style models, appropriately prompted LLMs, and more. TruLens evaluations use an abstraction of feedback functions.

LLM 112

LLM Large Language Models BERT Prompt Engineering 112

Snorkel AI

MAY 25, 2023

BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. BERT), or consist of both (e.g.,

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. BERT), or consist of both (e.g.,

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Heartbeat

OCTOBER 5, 2023

The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. Automation is critical, with techniques like pre-trained models, active learning, or weak supervision methods. The focus shifts towards prompt engineering and fine-tuning.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineering 52

Snorkel AI

MARCH 2, 2023

It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind. In terms of technology: generating code snippets, code translation, and automated documentation. Then comes prompt engineering.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52

Snorkel AI

MARCH 2, 2023

It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind. In terms of technology: generating code snippets, code translation, and automated documentation. Then comes prompt engineering.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52

deepsense.ai

FEBRUARY 12, 2024

The entire process can be further automated incorporating automatic image tagging using modules like RAM or Tag2Text. Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. By using car lamp as a prompt, we are very likely to detect cars instead of car lamps.

Prompt Engineering 52

Prompt Engineering Prompt Engineer NLP Computer Vision 52

Heartbeat

JANUARY 9, 2024

BERT and GPT are examples. 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.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Applied Data Science

DECEMBER 23, 2022

This year is intense: we have, among others, a new generative model that beats GANs , an AI-powered chatbot that discusses with more than 1 million people in a week and prompt engineering , a job that did not exist a year ago. To cover as many breakthroughs as possible we have broken down our review in four parts: ? What happened?

Neural Network 52

Neural Network Data Science AI AI 52

deepsense.ai

NOVEMBER 14, 2023

In short, EDS is the problem of the widespread lack of a rational approach to and methodology for the objective, automated and quantitative evaluation of performance in terms of generative model finetuning and prompt engineering for specific downstream GenAI tasks related to practical business applications. Garrido-Merchán E.C.,

Generative AI 111

Generative AI ML Prompt Engineering Prompt Engineer 111

Marktechpost

NOVEMBER 26, 2023

Fortunately, we can make the task more accessible through automated model selection methods like neural architecture search (NAS) and hyperparameter optimization. While pre-training a model like BERT from scratch is possible, using an existing model like bert-large-cased · Hugging Face is often more practical, except for specialized cases.

LLM 139

LLM BERT Large Language Models Prompt Engineering 139

Topbots

JUNE 29, 2023

While you will absolutely need to go for this approach if you want to use Text2SQL on many different databases, keep in mind that it requires considerable prompt engineering effort. 4] In the open-source camp, initial attempts at solving the Text2SQL puzzle were focussed on auto-encoding models such as BERT, which excel at NLU tasks.[5,

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52

ODSC - Open Data Science

NOVEMBER 4, 2024

This post is meant to walk through some of the steps of how to take your LLMs to the next level, focusing on critical aspects like LLMOps, advanced prompt engineering, and cloud-based deployments. BERT being distilled into DistilBERT) and task-specific distillation which fine-tunes a smaller model using specific task data (e.g.

Prompt Engineering 52

Prompt Engineering Prompt Engineer BERT Large Language Models 52

AWS Machine Learning Blog

DECEMBER 11, 2024

In this post, we illustrate the importance of generative AI in the collaboration between Tealium and the AWS Generative AI Innovation Center (GenAIIC) team by automating the following: Evaluating the retriever and the generated answer of a RAG system based on the Ragas Repository powered by Amazon Bedrock. or Claude Instant.

Generative AI 68

Generative AI Chatbots Prompt Engineer Prompt Engineering 68

AWS Machine Learning Blog

NOVEMBER 26, 2024

To address these challenges and enhance operational efficiency and scalability, many SOCs are increasingly turning to automation technologies to streamline repetitive tasks, prioritize alerts, and accelerate incident response. We used prompt engineering guidelines to tailor our prompts to generate better responses from the LLM.

LLM 92

LLM Machine Learning ML Prompt Engineering 92

Marktechpost

NOVEMBER 14, 2024

Suddenly, engineers could interact with them simply by prompting, without any initial training. Our platform initially focused on fine-tuning models like BERT in 2021-2022, which were considered large at the time. You can’t justify spending billions on infrastructure to solve relatively simple automation tasks.

Neural Network 130

Neural Network Deep Learning Machine Learning Generative AI 130