Mlearning.ai

JUNE 7, 2023

I worked on an early conversational AI called Marcel in 2018 when I was at Microsoft. In 2018 when BERT was introduced by Google, I cannot emphasize how much it changed the game within the NLP community. As I write this, the bert-base-uncasedmodel on HuggingFace has been downloaded over 53 million times in the last month alone!

Natural Language Processing 52

Natural Language Processing BERT NLP ChatGPT 52

ODSC - Open Data Science

JUNE 9, 2023

BERT BERT uses a transformer-based architecture, which allows it to effectively handle longer input sequences and capture context from both the left and right sides of a token or word (the B in BERT stands for bi-directional). This allows BERT to learn a deeper sense of the context in which words appear.

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Natural Language Processing ChatGPT Generative AI BERT 52

Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

Snorkel AI

AUGUST 24, 2023

Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT and applying it to their specific problem. Banks can use these models to fine-tune their interactive voice responses and train conversational AI to automatically respond to queries over chat, email, and text.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT and applying it to their specific problem. Banks can use these models to fine-tune their interactive voice responses and train conversational AI to automatically respond to queries over chat, email, and text.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Snorkel AI

AUGUST 24, 2023

Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT and applying it to their specific problem. Banks can use these models to fine-tune their interactive voice responses and train conversational AI to automatically respond to queries over chat, email, and text.

Large Language Models 52

Large Language Models AI AI Natural Language Processing 52

Topbots

JUNE 15, 2023

As of March 2023, GPT-3 could take up to 4K tokens and GPT-4 could take up to 8K or 32K tokens in its input [ 1 ] It costs more money It takes longer to run OpenAI’s models are increasingly being used in countries where English is not the dominant language. Top 5 countries sending the most traffic to chat.openai.com in Jan-March 2023.

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Natural Language Processing Computational Linguistics NLP ChatGPT 59

Pickl AI

DECEMBER 5, 2024

Summary: Retrieval Augmented Generation (RAG) is an innovative AI approach that combines information retrieval with text generation. By leveraging external knowledge sources, RAG enhances the accuracy and relevance of AI outputs, making it essential for applications like conversational AI and enterprise search.

Natural Language Processing 52

Natural Language Processing Conversational AI Chatbots Artificial Intelligence 52

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.

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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Topbots

JUNE 29, 2023

In April 2023, GPT-4 led to a dramatic accuracy increase of more than 5% over the previous state-of-the-art and achieved an accuracy of 85.3% (оn the metric “execution with values”).[4] 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,

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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. For B2B Generative AI Apps, Is Less More ? [2] References [1] Andreessen Horowitz.

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LLM ChatGPT Prompt Engineering Prompt Engineer 102