Marktechpost

JUNE 24, 2024

Impact of ChatGPT on Human Skills: The rapid emergence of ChatGPT, a highly advanced conversational AI model developed by OpenAI, has generated significant interest and debate across both scientific and business communities.

ChatGPT 111

ChatGPT Generative AI BERT NLP 111

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? 1x: OpenAI: DALL-e 3  — too! 1x: Robotics control.

Generative AI 98

Generative AI Prompt Engineering Prompt Engineer Large Language Models 98

Artificial Corner

JULY 30, 2023

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. Prompt engineering is a technique used in artificial intelligence to optimize and refine language models for specific activities and intended outcomes.

Large Language Models 87

Large Language Models LLM Natural Language Processing Deep Learning 87

Heartbeat

AUGUST 2, 2023

Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), BERT, XLNet, and Transformer-XL, etc., Large language models have gained considerable attention and popularity due to their impressive capabilities and potential applications, and even more with the launch of ChatGPT, an advanced language model developed by OpenAI.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer OpenAI 52

ODSC - Open Data Science

NOVEMBER 8, 2023

Prompt Engineering Another buzzword you’ve likely heard of lately, prompt engineering means designing inputs for LLMs once they’re developed. You can even fine-tune prompts to get exactly what you want. Don’t go in aimlessly expecting it to do everything. Plan accordingly!

Generative AI 52

Generative AI Prompt Engineering Prompt Engineer LLM 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

Chatbots Life

MAY 12, 2023

a deep dive Unless you have been living under a rock for the last few months, you have probably heard about a new model from OpenAI called ChatGTP. Unfortunately, the model’s release wasn’t accompanied by a research paper, and its only official description can be found on the OpenAI blog. But what is a language model?

ChatGPT 93

ChatGPT Software Engineer NLP Prompt Engineer 93

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. Other writers have composed thorough and robust tutorials on using the OpenAI Python library or using LangChain. BERT for misinformation. The largest version of BERT contains 340 million parameters. 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. Other writers have composed thorough and robust tutorials on using the OpenAI Python library or using LangChain. BERT for misinformation. The largest version of BERT contains 340 million parameters. 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. Other writers have composed thorough and robust tutorials on using the OpenAI Python library or using LangChain. BERT for misinformation. The largest version of BERT contains 340 million parameters. In-context learning. A GPT-3 model—82.5%

Generative AI 52

Generative AI BERT LLM Prompt Engineering 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. OpenAI’s GPT-2, finalized in 2019 at 1.5

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. OpenAI’s GPT-2, finalized in 2019 at 1.5

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

Pickl AI

SEPTEMBER 19, 2024

How Prompt Tuning Fits into the Broader Context of AI and Machine Learning In the broader context of AI and Machine Learning , prompt tuning is part of a larger strategy known as “prompt engineering.” Prompt tuning is a more focused method compared to full model fine-tuning.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Machine Learning Artificial Intelligence 52

Explosion

MAY 17, 2023

For instance, you can design a number of different prompts, and run a tournament between them, by answering a series of A/B evaluation questions where you pick which of two outputs is better without knowing which prompt produced them. We just use Microsoft Cognitive Services.") The results in Section 3.7,

LLM 135

LLM NLP Large Language Models OpenAI 135

The MLOps Blog

SEPTEMBER 26, 2024

Effective mitigation strategies involve enhancing data quality, alignment, information retrieval methods, and prompt engineering. Broadly speaking, we can reduce hallucinations in LLMs by filtering responses, prompt engineering, achieving better alignment, and improving the training data. In 2022, when GPT-3.5

LLM 72

LLM Auto-complete Prompt Engineer Prompt Engineering 72

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. Feature Engineering and Model Experimentation MLOps: Involves improving ML performance through experiments and feature engineering.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineering 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. This trend started in 2021, with OpenAI Codex , a GPT-3 based tool. Text-to-Image generation ?

Neural Network 52

Neural Network Data Science AI AI 52

Pickl AI

SEPTEMBER 21, 2023

One notable language model that has captured considerable attention is ChatGPT, developed by OpenAI. Transformers, like BERT and GPT, brought a novel architecture that excelled at capturing contextual relationships in language. ChatGPT is not just another AI model; it represents a significant leap forward in conversational AI.

ChatGPT 52

ChatGPT Conversational AI Chatbots Natural Language Processing 52

Snorkel AI

FEBRUARY 13, 2024

The student model could be a simple model like logistic regression or a foundation model like BERT. With a little prompt engineering (encouraging the LLM to behave as an expert in banking and giving one example per label), the team boosted the PaLM 2’s F1 score to 69.

LLM 52

LLM Data Scientist Neural Network Data Science 52

Snorkel AI

FEBRUARY 13, 2024

The student model could be a simple model like logistic regression or a foundation model like BERT. link] With a little prompt engineering (encouraging the LLM to behave as an expert in banking and giving one example per label), the team boosted the PaLM 2’s F1 score to 69.

LLM 52

LLM Data Scientist Neural Network Data Science 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. Then comes prompt engineering. Prompt engineering cannot be thought of as a very simple matter. Now we can deploy and monitor it.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering 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. Then comes prompt engineering. Prompt engineering cannot be thought of as a very simple matter. Now we can deploy and monitor it.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Heartbeat

NOVEMBER 17, 2023

Considerations for Choosing a Distance Metric for Text Embeddings: Scale or Magnitude : Embeddings from models like Word2Vec, FastText, BERT, and GPT are often normalized to unit length. In the context of this code, it seems to be applied to vectors by determining the proportion of differing vector elements.

Data Scientist 52

Data Scientist Deep Learning Algorithm BERT 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

Unite.AI

JUNE 27, 2024

Two key techniques driving these advancements are prompt engineering and few-shot learning. Prompt engineering involves carefully crafting inputs to guide AI models in producing desired outputs, ensuring more relevant and accurate responses.

Prompt Engineer 144

Prompt Engineer Prompt Engineering AI Modeling Large Language Models 144

Unite.AI

AUGUST 8, 2023

These advanced AI deep learning models have seamlessly integrated into various applications, from Google's search engine enhancements with BERT to GitHub’s Copilot, which harnesses the capability of Large Language Models (LLMs) to convert simple code snippets into fully functional source codes.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

AWS Machine Learning Blog

NOVEMBER 1, 2023

Question: {question} Answer: Understand the intent of the question then break down the {question} in to sub-tasks. """ prompt = PromptTemplate( template=template, input_variables= ["question"] ) llm_chain_local = LLMChain(prompt=prompt, llm=llm_local) llm_chain_local("Can you describe the nature of this image?

Auto-classification 112

Auto-classification LLM Auto-complete Generative AI 112

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. It’s the same reason OpenAI felt the need to roll out something like GPT-4o-mini.

Neural Network 128

Neural Network Deep Learning Machine Learning Generative AI 128

Topbots

JUNE 6, 2023

Autoencoding models, which are better suited for information extraction, distillation and other analytical tasks, are resting in the background — but let’s not forget that the initial LLM breakthrough in 2018 happened with BERT, an autoencoding model. Developers can now focus on efficient prompt engineering and quick app prototyping.[11]

LLM 102

LLM ChatGPT Prompt Engineer Prompt Engineering 102