The MLOps Blog

SEPTEMBER 26, 2024

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

LLM 72

LLM Auto-complete Prompt Engineer Prompt Engineering 72

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

JANUARY 9, 2024

LLMs received a lot of media attention when ChatGPT was released in December 2022. BERT and GPT are examples. This is brought on by various developments, such as the availability of data, the creation of more potent computer resources, and the development of machine learning algorithms.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

AWS Machine Learning Blog

APRIL 17, 2023

Prompt engineering Prompt engineering refers to efforts to extract accurate, consistent, and fair outputs from large models, such text-to-image synthesizers or large language models. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

Prompt Engineer 91

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 91

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. ", " *bd{2}-d{2}-d{4}b.*"])

Data Scientist 52

Data Scientist Deep Learning Algorithm BERT 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. The results in Section 3.7,

LLM 135

LLM NLP Large Language Models OpenAI 135

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 Prompt Engineer Prompt Engineering ML 111

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

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. When scaled up by 100x or 1000x, these models gained emergent generative properties.

Neural Network 129

Neural Network Deep Learning Machine Learning Generative AI 129

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,

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52

Topbots

JUNE 6, 2023

In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. Developers can now focus on efficient prompt engineering and quick app prototyping.[11] 12] What are the implications of these new components and frameworks for builders? 13063–13075. [3]

LLM 102

LLM ChatGPT Prompt Engineer Prompt Engineering 102