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 Engineering 245

Prompt Engineering Prompt Engineer Python NLP 245

Snorkel AI

JUNE 23, 2023

This approach was less popular among our attendees from the wealthiest of corporations, who expressed similar levels of interest in fine-tuning with prompts and responses, fine-tuning with unstructured data, and prompt engineering. But this approach requires labeled data—and a fair amount of it.

Data Science 64

Data Science Large Language Models Data Scientist Machine Learning 64

Snorkel AI

JUNE 23, 2023

This approach was less popular among our attendees from the wealthiest of corporations, who expressed similar levels of interest in fine-tuning with prompts and responses, fine-tuning with unstructured data, and prompt engineering. But this approach requires labeled data—and a fair amount of it.

Data Science 64

Data Science Large Language Models Data Scientist Machine Learning 64

Explosion

MAY 17, 2023

We want to aggregate it, link it, filter it, categorize it, generate it and correct it. 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.

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 Prompt Engineer Prompt Engineering Auto-complete 72

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. That minimizes the chance that the prompt will overrun the context window, and also reduces the cost of high-volume runs. Its categorical power is brittle. The former will make the generative model’s outputs (mostly) fall into an expected range.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. That minimizes the chance that the prompt will overrun the context window, and also reduces the cost of high-volume runs. Its categorical power is brittle. The former will make the generative model’s outputs (mostly) fall into an expected range.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. That minimizes the chance that the prompt will overrun the context window, and also reduces the cost of high-volume runs. Its categorical power is brittle. The former will make the generative model’s outputs (mostly) fall into an expected range.

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

Snorkel AI

JUNE 23, 2023

This approach was less popular among our attendees from the wealthiest of corporations, who expressed similar levels of interest in fine-tuning with prompts and responses, fine-tuning with unstructured data, and prompt engineering. But this approach requires labeled data—and a fair amount of it.

Data Science 52

Data Science Large Language Models Machine Learning Categorization 52

ODSC - Open Data Science

JANUARY 7, 2025

Classification techniques, such as image recognition and document categorization, remain essential for a wide range of industries. Classification techniques like random forests, decision trees, and support vector machines are among the most widely used, enabling tasks such as categorizing data and building predictive models.

Data Scientist 40

Data Scientist Data Science Deep Learning Machine Learning 40

Snorkel AI

MAY 25, 2023

OpenAI’s GPT-2, finalized in 2019 at 1.5 GPT-2’s impressive performance gave OpenAI pause; the company announced in February of that year that it wouldn’t release the full-sized version of the model immediately, due to “concerns about large language models being used to generate deceptive, biased, or abusive language at scale.”

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

OpenAI’s GPT-2, finalized in 2019 at 1.5 GPT-2’s impressive performance gave OpenAI pause; the company announced in February of that year that it wouldn’t release the full-sized version of the model immediately, due to “concerns about large language models being used to generate deceptive, biased, or abusive language at scale.”

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Heartbeat

FEBRUARY 13, 2024

So, let's get started… Proprietary vs Open Source LLMs Though OpenAI's ChatGPT is the leader among the LLM models and has revolutionized the industry with its offerings, open-source LLM ecosystems are rapidly evolving and are becoming as good as proprietary LLMs in terms of performance.

Data Scientist 52

Data Scientist LLM Deep Learning Explainability 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. There is a ‘but’, however.

Generative AI 111

Generative AI ML Prompt Engineer Prompt Engineering 111

Unite.AI

AUGUST 8, 2023

Unlike conventional models which need vast amounts of specific training data, LLMs can generalize from a very limited number of examples (or “shots”) State of Large Language Models (LLMs) as of post-mid 2023 Model Name Developer Parameters Availability and Access Notable Features & Remarks GPT-4 OpenAI 1.5

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

AWS Machine Learning Blog

NOVEMBER 1, 2023

Key strengths of VLP include the effective utilization of pre-trained VLMs and LLMs, enabling zero-shot or few-shot predictions without necessitating task-specific modifications, and categorizing images from a broad spectrum through casual multi-round dialogues. Do you think it's real??")

Auto-classification 120

Auto-classification LLM Auto-complete Generative AI 120

AWS Machine Learning Blog

NOVEMBER 25, 2024

The cost of using Google Translate for continuous translations was prohibitive, and other models such as Anthropic’s Claude Sonnet and OpenAI GPT-4o weren’t cost-effective. Although OpenAI GPT-3.5 This prompted 123RF to search for a more reliable and affordable solution to enhance multilingual content discovery.

Prompt Engineering 101

Prompt Engineering Prompt Engineer Metadata Generative AI 101