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. Since then, AI has made a huge step forward, and in this article, we will review some of the trends of the past months as well as their implications for AI builders.

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LLM ChatGPT Prompt Engineer Prompt Engineering 105

Topbots

AUGUST 31, 2023

With the rush to adopt generative AI to stay competitive, many businesses are overlooking key risks associated with LLM-driven applications. Our analysis is informed by the OWASP Top 10 for LLM vulnerabilities list, which is published and constantly updated by the Open Web Application Security Project (OWASP).

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Large Language Models LLM Chatbots Natural Language Processing 80

Marktechpost

DECEMBER 12, 2023

Thanks to the success in increasing the data, model size, and computational capacity for auto-regressive language modeling, conversational AI agents have witnessed a remarkable leap in capability in the last few years. In comparison to the more powerful LLMs, this severely restricts their potential.

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Generative AI AI Modeling Large Language Models LLM 97

Topbots

AUGUST 22, 2023

Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. auto-evaluation) and using human-LLM hybrid approaches. This requires building a custom evaluation set.

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LLM Auto-complete Large Language Models Machine Learning 52

Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Almost every industry is utilizing the potential of AI and revolutionizing itself.

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Large Language Models Natural Language Processing LLM BERT 97

Topbots

JULY 6, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. The Most Important Large Language Models (LLMs) and Visual Language Models (VLMs) in 2023 1. What are the results?

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LLM Large Language Models Natural Language Processing OpenAI 52

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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Large Language Models Neural Network LLM Chatbots 363

Topbots

MAY 24, 2023

These models support common tasks in different modalities, such as: Natural Language Processing: text classification, named entity recognition, question answering, language modeling, summarization, translation, multiple choice, and text generation. Stable LM – open source LLM. Sign up for more AI research updates.

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Generative AI ChatGPT Computer Vision Natural Language Processing 119

Topbots

JANUARY 30, 2023

They are forced to learn only from the surface form of language, and their success criterion is not communicative efficiency but the reproduction of high-probability linguistic patterns. In the business context, this can lead to bad surprises when too much power is given to an LLM.

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Large Language Models LLM Computational Linguistics Natural Language Processing 52

Topbots

DECEMBER 19, 2023

Presenters from various spheres of AI research shared their latest achievements, offering a window into cutting-edge AI developments. In this article, we delve into these talks, extracting and discussing the key takeaways and learnings, which are essential for understanding the current and future landscapes of AI innovation.

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Computer Vision Natural Language Processing AI Researcher AI Research 52

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. ChatGPT is a next-generation language model (referred to as GPT-3.5) Researchers are developing techniques to make LLM training more efficient.

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ChatGPT Large Language Models OpenAI Conversational AI 124

Topbots

OCTOBER 4, 2023

The basic difference is that predictive AI outputs predictions and forecasts, while generative AI outputs new content. Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., Sign up for more AI research updates.

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Heartbeat

NOVEMBER 16, 2023

An In-depth Look into Evaluating AI Outputs, Custom Criteria, and the Integration of Constitutional Principles Photo by Markus Winkler on Unsplash Introduction In the age of conversational AI, chatbots, and advanced natural language processing, the need for systematic evaluation of language models has never been more pronounced.

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LLM Chatbots Explainability Deep Learning 52

Topbots

JULY 14, 2023

Thanks to the ability of Large Language Models (LLM) to process and understand texts, they can assist in reading texts and generating accurate summaries or standardizing information. Sign up for more AI research updates. Email Address * Name * First Last Company * What business use cases are you applying AI to?

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ChatGPT Natural Language Processing LLM Prompt Engineer 52

Topbots

SEPTEMBER 11, 2023

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. Opportunity With all the cool stuff you can now do with AI, you might be impatient to get your hands dirty and start building. Sign up for more AI research updates.

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AI AI UX Design Automation 59

Topbots

JUNE 29, 2023

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. Query validation and improvement To constrain the LLM output, we can introduce additional mechanisms for validating and improving the query. Sign up for more AI research updates.

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Auto-complete Algorithm Data Scientist Auto-classification 52