Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. When prompted for a classification task, a genAI LLM may give a reasonable baseline, but prompt engineering and fine-tuning can only take you so far. BERT for misinformation. In-context learning. A GPT-3 model—82.5%

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. When prompted for a classification task, a genAI LLM may give a reasonable baseline, but prompt engineering and fine-tuning can only take you so far. BERT for misinformation. In-context learning. A GPT-3 model—82.5%

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

The MLOps Blog

FEBRUARY 15, 2024

TL;DR In 2023, the tech industry saw waves of layoffs, which will likely continue into 2024. Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Who are the people most at risk of being laid off? Let’s recap some key points.

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. When prompted for a classification task, a genAI LLM may give a reasonable baseline, but prompt engineering and fine-tuning can only take you so far. BERT for misinformation. In-context learning. A GPT-3 model—82.5%

Generative AI 52

Generative AI BERT LLM Prompt Engineer 52

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? ZDNet’s Vala Afshar did a great job here. expect: Half-life?

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

deepsense.ai

FEBRUARY 6, 2024

Fortunately, in 2023 we underwent a minor revolution in the task of image segmentation. 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. Source: [link].

Prompt Engineer 105

Prompt Engineer Prompt Engineering NLP Computer Vision 105

Unite.AI

AUGUST 28, 2023

Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. Advanced AI Agents: Auto-GPT, BabyAGI and more AutoGPT and AgentGPT AutoGPT , a brainchild released on GitHub in March 2023, is an ingenious Python-based application that harnesses the power of GPT, OpenAI's transformative generative model.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

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

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

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. In 2023, the market’s focus was all about making models as big as possible, which worked well for quick prototyping.

Neural Network 131

Neural Network Deep Learning Machine Learning Generative AI 131

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

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