Unite.AI

APRIL 17, 2024

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. These models, characterized by their large number of parameters and training on extensive text corpora, signify an innovative advancement in NLP capabilities.

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Analytics Vidhya

JULY 28, 2023

Learn to master prompt engineering for LLM applications with LangChain, an open-source Python framework that has revolutionized the creation of cutting-edge LLM-powered applications. Introduction In the digital age, language-based applications play a vital role in our lives, powering various tools like chatbots and virtual assistants.

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Prompt Engineering Prompt Engineer LLM Python 259

The MLOps Blog

MARCH 20, 2025

TL;DR LLM agents extend the capabilities of pre-trained language models by integrating tools like Retrieval-Augmented Generation (RAG), short-term and long-term memory, and external APIs to enhance reasoning and decision-making. The efficiency of an LLM agent depends on the selection of the right LLM model.

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Unite.AI

FEBRUARY 7, 2024

LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP). However, LLMs are also very different from other models.

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Machine Learning Large Language Models LLM BERT 288

Towards AI

OCTOBER 31, 2024

As we wrap up October, we’ve compiled a bunch of diverse resources for you — from the latest developments in generative AI to tips for fine-tuning your LLM workflows, from building your own NotebookLM clone to instruction tuning. We have long supported RAG as one of the most practical ways to make LLMs more reliable and customizable.

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Towards AI

FEBRUARY 3, 2025

We will also compare it with other competing AI tools like OpenAI and ChatGPT-4 and will try to figure out what are its USPs. DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP). Lets begin!

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Natural Language Processing OpenAI Neural Network Artificial Intelligence 125

Analytics Vidhya

JUNE 13, 2024

Introduction Large language models (LLMs) have revolutionized natural language processing (NLP), enabling various applications, from conversational assistants to content generation and analysis.

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Large Language Models Natural Language Processing NLP Python 381

Unite.AI

FEBRUARY 11, 2025

LLMs Differentiation Problem Adding to this structural challenge is a concerning trend: the rapid convergence of large language model (LLM) capabilities. In other words, while every new LLM boasts impressive performance based on standard benchmarks, a truly significant shift in the underlying model architecture is not taking place.

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Large Language Models LLM OpenAI NLP 129

Explosion

MAY 17, 2023

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them?

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LLM NLP Large Language Models OpenAI 135

Bugra Akyildiz

DECEMBER 28, 2024

Speculative decoding applies the principle of speculative execution to LLM inference. The process involves two main components: A smaller, faster "draft" model The larger target LLM The draft model generates multiple tokens in parallel, which are then verified by the target model. DRAGON can be used as a drop-in replacement for BERT.

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LLM Large Language Models BERT Python 52

Marktechpost

FEBRUARY 23, 2025

Researchers from the University College London, University of WisconsinMadison, University of Oxford, Meta, and other institutes have introduced a new framework and benchmark for evaluating and developing LLM agents in AI research. OpenAI O1-preview achieves the highest overall performance, with Gemini 1.5 Pro and Claude-3.5-Sonnet

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AI Researcher AI Research Software Engineer AI 91

John Snow Labs

JANUARY 25, 2024

The shift across John Snow Labs’ product suite has resulted in several notable company milestones over the past year including: 82 million downloads of the open-source Spark NLP library. State-of-the-art text embeddings are provided, outperforming those by OpenAI. Monthly downloads increased by 60% since the 5.0

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Unite.AI

SEPTEMBER 11, 2023

With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue. Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks.

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The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. For instance, a 1.5B

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NLP LLM Large Language Models Natural Language Processing 115

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. And truly, there can’t be an effective RAG without an NLP library that is production-ready, natively distributed, state-of-the-art, and user-friendly. We’re excited to unveil Spark NLP 5.1

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Unite.AI

JULY 23, 2024

In this comprehensive guide, we'll explore the landscape of LLM serving, with a particular focus on vLLM (vector Language Model), a solution that's reshaping the way we deploy and interact with these powerful models. Example: Consider a relatively modest LLM with 13 billion parameters, such as LLaMA-13B.

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LLM Large Language Models Chatbots Artificial Intelligence 130

Marktechpost

SEPTEMBER 26, 2024

LLMs have advanced significantly, showcasing their capabilities across various domains. Intelligence, a multifaceted concept, involves multiple cognitive skills, and LLMs have pushed AI closer to achieving general intelligence. However, they often struggle with complex logical reasoning tasks. and 27.1%, respectively.

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Towards AI

OCTOBER 10, 2024

The evolution of Large Language Models (LLMs) allowed for the next level of understanding and information extraction that classical NLP algorithms struggle with. This is where LLMs come into play with their capabilities to interpret customer feedback and present it in a structured way that is easy to analyze.

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Metadata LLM Algorithm Large Language Models 119

AssemblyAI

MAY 3, 2023

Starting from the field of Natural Language Processing (NLP), Transformers have been revolutionizing nearly all areas of applied AI, due to their efficiency at processing large chunks of data at once ( parallelization ) rather than sequentially, a feature that allowed for training on bigger datasets than previous existing architectures.

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Marktechpost

APRIL 6, 2024

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. Let’s delve into the role of transformers in NLP and elucidate the process of training LLMs using this innovative architecture. appeared first on MarkTechPost.

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Large Language Models NLP Convolutional Neural Networks Neural Network 120

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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Auto-complete ChatGPT Large Language Models Neural Network 240

Unite.AI

NOVEMBER 22, 2023

With advancements in large language models, the global development community has leveraged the concept of intelligent agents and LLMs to create language agents. These agents utilize natural language programming (NLP) to perform a wide array of intricate tasks in diverse environments, and they have recently shown remarkable potential.

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LLM Data Analysis Large Language Models Python 292

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. Why Scikit-LLM? and the user-friendly environment of Scikit-learn. Installation %%capture !pip

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Large Language Models LLM Machine Learning Python 111

Unite.AI

AUGUST 1, 2023

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models.

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Prompt Engineering Prompt Engineer ChatGPT Convolutional Neural Networks 246

IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). Even as code produced by generative AI and LLM technologies becomes more accurate, it can still contain flaws and should be reviewed, edited and refined by people.

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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. For example, OpenAI’s GPT-3 model has 175 billion parameters. The term “large” is often quantified by the number of parameters they possess.

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Towards AI

MARCH 17, 2023

From fluent dialogue generation to text summarisation, and article generation, language models have made it extremely easy for anyone to build an NLP-powered product. As a result, hundreds of apps have been popping up every day, predominantly relying on APIs such as OpenAI, Cohere, or Stable Diffusion. Let’s explore a few of those.

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NLP LLM Large Language Models Prompt Engineer 98

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. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Large Language Models LLM Natural Language Processing Deep Learning 98

Marktechpost

JUNE 13, 2024

Transformer-based generative Large Language Models (LLMs) have shown considerable strength in a broad range of Natural Language Processing (NLP) tasks. For this, top AI firms like OpenAI, Google, and Baidu offer a language model-as-a-service (LMaaS) by granting access to their LLMs through APIs.

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LLM Natural Language Processing Large Language Models NLP 120

Towards AI

JANUARY 22, 2025

Setting the Stage: Why Augmentation Matters Imagine youre chatting with an LLM about complex topics like medical research or historical events. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. Despite its vast training, it occasionally hallucinates producing incorrect or fabricated information. Citations: Lewis, P.,

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Neural Network Chatbots Large Language Models NLP 105

Analytics Vidhya

MAY 17, 2023

Let’s take a look at ChatGPT – the revolutionary language model developed by OpenAI. Have you ever wondered how machines learn to understand human language and respond accordingly? With its groundbreaking GPT-3.5

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Flipboard

MARCH 17, 2023

The model claims to use only 75 percent of GPT-3’s training compute time, and 40 and 80 percent of DeepMind’s Chinchilla NLP and Google’s PaLM-62B …

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LLM NLP ChatGPT OpenAI 123

Unite.AI

AUGUST 24, 2023

In the past few years, the AI and ML industry has witnessed a meteoric rise in the development & application of the NLP systems as researchers have been able to implement NLP practices in highly flexible and task-agnostic ways for downstream transferring tasks. Let’s now talk about the GPT-3 model.

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NLP Large Language Models LLM OpenAI 246

Unite.AI

MARCH 28, 2025

Under the hood, it integrates with LLMs you can plug in providers like OpenAI or Anthropic so that your bot can interpret user inputs and generate fluent, context-aware responses. Multi-LLM support: (OpenAI, Anthropic, HuggingFace, etc.) to power natural language understanding.

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Unite.AI

JUNE 13, 2024

BootstrapFinetune : Distills a prompt-based DSPy program into weight updates for smaller LMs, allowing you to fine-tune the underlying LLM(s) for enhanced efficiency. The post Optimize LLM with DSPy : A Step-by-Step Guide to build, optimize, and evaluate AI systems appeared first on Unite.AI.

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Unite.AI

MARCH 25, 2025

Top Features: Multilingual AI Chatbots Converse with customers in over 100 languages, using NLP to understand and respond appropriately. The platform supports integration with popular AI models (like OpenAIs GPT-4) and allows fusion of these with rule-based logic giving you control over the AIs behavior. in one place.

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Chatbots AI Chatbots Automation AI 130

Unite.AI

DECEMBER 11, 2023

The announcement of Google Gemini, nestled closely after the debut of Bard, Duet AI, and the PaLM 2 LLM, marks a clear intention from Google to not only compete but lead in the AI revolution. Power of Multimodality: At its core, Gemini utilizes a transformer-based architecture, similar to those employed in successful NLP models like GPT-3.

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