Mlearning.ai

MAY 5, 2023

A basic introduction to large language models and their emergence Source: Here “GPT is like alchemy!”  — Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short.

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Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

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Analytics Vidhya

APRIL 10, 2024

Introduction While OpenAI’s GPT-4 has made waves as a powerful large language model, its closed-source nature and usage limitations have left many developers seeking open-source alternatives.

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Becoming Human

FEBRUARY 1, 2023

Meet Mr. ChatGPT: A Large Language Model Trained by OpenAI Hello and welcome to the blog! My name is ChatGPT, and I am a large language model trained by OpenAI. P.S. This article includes a use case of using ChatGPT in autonomous driving. see you in the next article!

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Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. and the user-friendly environment of Scikit-learn. Installation %%capture !pip

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Marktechpost

MARCH 5, 2024

In recent years, the landscape of natural language processing (NLP) has been dramatically reshaped by the emergence of Large Language Models (LLMs). Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Unite.AI

JUNE 6, 2023

& GPT-4 large language models (LLMs), has generated significant excitement within the Artificial Intelligence (AI) community. AutoGPT can gather task-related information from the internet using a combination of advanced methods for Natural Language Processing (NLP) and autonomous AI agents.

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Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size. rely on Language Models as their foundation.

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Marktechpost

AUGUST 26, 2023

LLMs have changed the way language processing (NLP) is thought of, but the issue of their evaluation persists. Old standards eventually become irrelevant, given that LLMs can perform NLU and NLG at human levels (OpenAI, 2023) using linguistic data.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. The transformer architecture is based on the attention mechanism, which allows the model to learn long-range dependencies between words.

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John Snow Labs

NOVEMBER 9, 2023

Introduction Building applications with language models involves many moving parts. Evaluation and testing are both critical when thinking about deploying Large Language Model (LLM) applications. QA models play a crucial role in retrieving answers from text, particularly in document search.

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John Snow Labs

OCTOBER 10, 2023

Driven by advancements in large language models (LLMs) such as OpenAI’s ChatGPT and Google’s Bard, the customer service and support landscape is undergoing a significant transformation. This talk proposal focuses on harnessing the power of LLMs to augment human agents and revolutionize support interactions.

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ODSC - Open Data Science

DECEMBER 8, 2023

The year 2023 has witnessed an unprecedented surge in the development of large language models , with new models emerging at an astonishing pace. PaLM 2 demonstrated remarkable capabilities in various NLP tasks, including text generation, language translation, and question answering.

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John Snow Labs

JUNE 27, 2023

Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. What are Large Language Models (LLMs)?

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Defined.ai blog

AUGUST 8, 2023

The world of artificial intelligence (AI) is evolving at breakneck speed, and the rise of large language models is one of the game-changing developments in this field. But what exactly are these models, and why should you, as a business owner or executive, care? What are Large Language Models?

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Unite.AI

FEBRUARY 7, 2024

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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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. The Most Important Large Language Models (LLMs) in 2023 1. Its design allowed the model to consider the context from both the left and the right sides of each word.

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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. Large Language Models The development of Large Language Models (LLMs) represents a huge step forward for Artificial Intelligence.

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Mlearning.ai

FEBRUARY 21, 2023

Building a Modular Reasoning, Knowledge and Language (MRKL) system using prompt chaining Image by author What is this about? During this tutorial, we will explore how to supercharge Large Language Models (LLMs) with LangChain. Access to GPT-3 To gain access to GPT-3 we need to create an account with OpenAI.

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Analytics Vidhya

SEPTEMBER 28, 2023

Introduction The rapid advancements in Large Language Models (LLMs) have transformed the landscape of AI, offering unparalleled capabilities in natural language understanding and generation. LLMs have ushered in a new language understanding and generation era, with OpenAI’s GPT models at the forefront.

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Ehud Reiter

FEBRUARY 27, 2023

I’ve seen all kinds of people make comments recently about the value of academic research in NLP. The basic argument is that significant research on large language models such as chatGPT, which is the hottest/trendiest area in NLP, happens in companies (instead of universities) because it requires lots of resources.

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John Snow Labs

NOVEMBER 28, 2023

We are thrilled to announce the release of NLP Lab version 5.5, marking another significant step forward in its Natural Language Processing capabilities. This integration covers the already available NER pre-annotation and synthetic task generation but also a new feature: Prompt-based Text Classification with GPT models.

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Flipboard

MAY 7, 2023

Large language models (LLMs) are one of the hottest innovations today. With companies like OpenAI and Microsoft working on releasing new impressive NLP systems, no one can deny the importance of having access to large amounts of quality data that can’t be undermined. However, according to recent …

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Analytics Vidhya

SEPTEMBER 19, 2023

Introduction A specific category of artificial intelligence models known as large language models (LLMs) is designed to understand and generate human-like text. The term “large” is often quantified by the number of parameters they possess.

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Mlearning.ai

APRIL 3, 2023

The Open-Source Chatbot with Exceptional Quality Based on LLaMA-13B Large Language Models (LLMs) are advanced AI models that can process and comprehend human language, developed using deep learning techniques and trained on massive amounts of textual data. BECOME a WRITER at MLearning.ai

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NYU Center for Data Science

SEPTEMBER 28, 2023

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. A Vision for ML² In the beginning, ML² was simply the hub for NLP research at NYU.

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John Snow Labs

AUGUST 31, 2023

This study introduces LangTest , an innovative open-source Python library crafted to empower developers in the assessment and enhancement of Natural Language Processing (NLP) models. LangTest offers a systematic approach to validate models against biases and perturbations like typos, varying textual cases, and more.

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Flipboard

FEBRUARY 9, 2023

Aidan Gomez, co-founder and CEO of Cohere AI, admits that the company, which offers developers and businesses access to natural language processing (NLP) powered by large language models, (LLMs), is “crazy under the radar.” Given the quality of the company’s foundation models, which many say are …

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Unite.AI

OCTOBER 2, 2023

Imagine you're an Analyst, and you've got access to a Large Language Model. ” Large Language Model, for all their linguistic power, lack the ability to grasp the ‘ now ‘ And in the fast-paced world, ‘ now ‘ is everything. My last training data only goes up to January 2022.”

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John Snow Labs

NOVEMBER 1, 2023

Previously, the HuggingFace masked model approach was employed for this evaluation which can be found in this blogpost. However, in our discussion, we will shift the focus to Large Language Models (LLMs) and detail the evaluation process within this context. Testing in a few lines of code !pip

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Topbots

OCTOBER 10, 2023

We use language, our universal and familiar protocol for communication, to interact with different virtual assistants (VAs) and accomplish our tasks. LLMs enhance conversational AI: Large Language Models (LLMs) have significantly improved the quality and scalability of conversational AI applications across various industries and use cases.

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Marktechpost

MARCH 31, 2024

Natural Language Processing (NLP) has taken over the field of Artificial Intelligence (AI) with the introduction of Large Language Models (LLMs) such as OpenAI’s GPT-4. These models use massive training on large datasets to predict the next word in a sequence, and they improve with human feedback.

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Bitext

AUGUST 1, 2023

Generative Large Language Models (LLMs) have demonstrated remarkable performance in tackling various business challenges, from generating well-written articles to sentiment classification of sentences. We fine-tuned multiple instances of the ada model using different subsets of the data with specific epochs and batch sizes.

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Marktechpost

FEBRUARY 17, 2024

In the evolving landscape of natural language processing (NLP), the ability to grasp and process extensive textual contexts is paramount. 2023), have significantly propelled the capabilities of language models, particularly through the development of text embeddings. Recent advancements, as highlighted by Lewis et al.

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Marktechpost

DECEMBER 18, 2023

For example, a superhuman model could generate millions of lines of complicated code for which a human cannot provide reliable supervision. The researchers created the weak supervisors by finetuning small-sized pre-trained models on ground truth labels. Check out the Paper and OpenAI Blog.

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Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. It begins by emphasizing the importance of understanding how these models respond to natural language prompts.

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Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape.

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