Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers.

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AssemblyAI

MAY 3, 2023

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives.

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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.

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Marktechpost

MARCH 1, 2024

The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. These models have mastered the intricacies of language, enabling them to tackle tasks with remarkable accuracy.

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Marktechpost

OCTOBER 26, 2024

Resolving this issue is crucial to advancing AI applications that rely on natural language understanding and generation for effective and reliable performance. This segmentation also allows for scalable modular adjustments, making the model versatile for language tasks, including question-answering and conversational AI.

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NVIDIA

FEBRUARY 11, 2025

That work inspired researchers who created BERT and other large language models , making 2018 a watershed moment for natural language processing, a report on AI said at the end of that year. Google released BERT as open-source software , spawning a family of follow-ons and setting off a race to build ever larger, more powerful LLMs.

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Marktechpost

JANUARY 31, 2025

Other approaches integrate evaluation metrics like SelfBLEU and Sentence-BERT into RL fine-tuning to boost diversity, particularly for red-teaming tasks. For comparison, baseline methods including vanilla RLHF and Sent-Rewards are implemented, which use SelfBLEU and Sentence-BERT scores as additional rewards during training.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. and is trained in a manner similar to OpenAI’s earlier InstructGPT, but on conversations. With this in mind, I have enabled Originality.AI

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ODSC - Open Data Science

APRIL 11, 2023

Speaker: Akash Tandon, Co-Founder and Co-author of Advanced Analytics with PySpark | Looppanel and O’Reilly Media Self-Supervised and Unsupervised Learning for Conversational AI and NLP Self-supervised and Unsupervised learning techniques such as Few-shot and Zero-shot learning are changing the shape of AI research and product community.

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NYU Center for Data Science

JUNE 30, 2023

When Eric became a neurosurgeon, the idea fully formulated when he considered the usefulness of having an AI assistant who could read along with him and chime in with advice. Through this work, I have become interested in learning more about conversational AI, interpretability, privacy and fairness, and causality.

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Marktechpost

JULY 3, 2023

Chatbots – LLMs are frequently utilized in the creation of chatbots and systems that use conversational AI. BERT – Bidirectional Encoder Representations from Transformers (BERT) is one of the first Transformer-based self-supervised language models.

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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!

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AWS Machine Learning Blog

NOVEMBER 29, 2023

He is focused on efficient ML training techniques and building tools to improve conversational AI systems. Abhishek Dan is a senior Dev Manager in the Amazon Applied AI team and works on machine learning and conversational AI systems. device batch = [t.to(device) device batch = [t.to(device)

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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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Marktechpost

MARCH 13, 2025

Sentence-BERT, DPR, and Contriever have demonstrated the benefits of contrastive learning and language-agnostic training for embedding quality. More recently, models like E5-Mistral and LaBSE, initialised from LLM backbones such as GPT-3 and Mistral, have outperformed traditional BERT and T5-based embeddings.

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ODSC - Open Data Science

JANUARY 17, 2025

Implicit Learning of Intent : LLMs like GPT, BERT, or other transformer-based models learn to predict the next word or fill in missing text based on surrounding context. Through this process, they implicitly capture the nuances of intent because they have seen numerous examples of how intent is expressed in various forms of communication.

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Pickl AI

SEPTEMBER 21, 2023

ChatGPT is not just another AI model; it represents a significant leap forward in conversational AI. With its ability to engage in natural, context-aware conversations, ChatGPT is reshaping how we communicate with machines.

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Pickl AI

FEBRUARY 14, 2023

Bert Labs Pvt. Ltd Bert Labs Pvt Ltd is one of the Top AI Startups in India, established in 2017 by Rohit Kochar. The business provides customers with technological solutions for building applications by combining software and hardware systems and leveraging AI and the Internet of Things. Accordingly, Beatoven.ai

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AssemblyAI

MAY 23, 2023

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. This trend started with models like the original GPT and ELMo, which had millions of parameters, and progressed to models like BERT and GPT-2, with hundreds of millions of parameters. months on average.

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Topbots

OCTOBER 4, 2023

Masking in BERT architecture ( illustration by Misha Laskin ) Another common type of generative AI model are diffusion models for image and video generation and editing. For example, large language models (LLMs) are trained by randomly replacing some of the tokens in training data with a special token, such as [MASK].

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Dlabs.ai

MAY 22, 2022

BERT Sentiment Analysis On Vertex AI Using TFX Author: Tomasz Maćkowiak Last but not least, a resource for advanced machine learning engineers: BERT Sentiment Analysis On Vertex AI Using TFX. and you know how to implement algorithms from pseudocode), try this ML course and build on your skills!

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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.

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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.

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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.

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Large Language Models Natural Language Processing AI Artificial Intelligence 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 Natural Language Processing AI Artificial Intelligence 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.

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Large Language Models Natural Language Processing AI Artificial Intelligence 52

ML Review

DECEMBER 16, 2019

The main venue alone had more than 100 graph-related publications, and even more were available at three workshops: Graph Representation Learning (about 100 more papers), Knowledge Representation & Reasoning Meets Machine Learning (KR2ML) (about 50 papers), Conversational AI. So we’ll consider all events jointly.

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Topbots

JULY 6, 2023

Like other large language models, including BERT and GPT-3, LaMDA is trained on terabytes of text data to learn how words relate to one another and then predict what words are likely to come next. Email Address * Name * First Last Company * What areas of AI research are you interested in? How is the problem approached?

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LLM Large Language Models Natural Language Processing NLP 52

Topbots

JUNE 15, 2023

Are All Languages Created Equal in Multilingual BERT? Email Address * Name * First Last Company * What areas of AI research are you interested in? In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Association for Computational Linguistics. Shijie Wu and Mark Dredze.

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The MLOps Blog

SEPTEMBER 12, 2024

It was released back in 2020, but it was only its RLHF-trained version dubbed ChatGPT that became an overnight sensation, capturing the attention of millions and setting a new standard for conversational AI. The reward model is typically also an LLM, often encoder-only, such as BERT.

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Unite.AI

FEBRUARY 8, 2025

Models like BERT and GPT took language understanding to new depths by grasping the context of words more effectively. ChatGPT, for instance, revolutionized conversational AI , transforming customer service and content creation.

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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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Topbots

JUNE 29, 2023

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, 5, 6, 7] However, amidst the hype around generative AI, recent approaches focus on autoregressive models such as the T5 model. different variants of semantic parsing.

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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. Email Address * Name * First Last Company * What areas of AI research are you interested in?

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