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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Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit Claude 3 → 2.

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ODSC - Open Data Science

APRIL 4, 2025

In the evolving field of natural language processing (NLP), data labeling remains a critical step in training machine learning models. To address these challenges, organizations are increasingly turning to LLM-automated annotationleveraging Large Language Models (LLMs) to automate and streamline the labeling process.

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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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Unite.AI

JULY 5, 2023

Their latest large language model (LLM) MPT-30B is making waves across the AI community. The MPT-30B: A Powerful LLM That Exceeds GPT-3 MPT-30B is an open-source and commercially licensed decoder-based LLM that is more powerful than GPT-3-175B with only 17% of GPT-3 parameters, i.e., 30B.

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Unite.AI

JULY 26, 2024

As the adoption of artificial intelligence (AI) accelerates, large language models (LLMs) serve a significant need across different domains. Meta AI's Llama 3 is another leading LLM built to generate human-like text and understand complex linguistic patterns. Regular OpenAI updates. Excels in nuanced language tasks.

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Unite.AI

OCTOBER 30, 2024

There were rapid advancements in natural language processing with companies like Amazon, Google, OpenAI, and Microsoft building large models and the underlying infrastructure. Even then, I could sense a wave of innovation coming that would make this possible. But they were not necessarily tackling end-to-end workflows.

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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).

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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

NOVEMBER 6, 2024

Understanding AI Agents In the context of AI, an agent is an autonomous software component capable of performing specific tasks, often using natural language processing and machine learning. Key Agent Types: Assistant Agent : An LLM-powered assistant that can handle tasks such as coding, debugging, or answering complex queries.

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Unite.AI

OCTOBER 19, 2023

Key developments include OpenAI's GPT-3 and DALL·E series, GitHub's CoPilot for coding, and the innovative Make-A-Video series for video creation. These breakthroughs come from leading tech entities such as OpenAI, DeepMind, GitHub, Google, and Meta. We're still learning what LLMs can and can't do. Avoiding content rules.

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Unite.AI

NOVEMBER 14, 2023

Last week marked a significant milestone for OpenAI, as they unveiled GPT-4 Turbo at their OpenAI DevDay. This enhancement enables the processing of text 16 times greater than its predecessor, equivalent to around 300 pages of text. OpenAI's ChatGPT Enterprise, with its advanced features, poses a challenge to many SaaS startups.

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Unite.AI

APRIL 18, 2024

SWE agent LLM LLM Agents: Orchestrating Task Automation LLM agents are sophisticated software entities designed to automate the execution of complex tasks. The operation of an LLM agent can be visualized as a dynamic sequence of steps, meticulously orchestrated to fulfill the given task.

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Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

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AssemblyAI

MAY 3, 2023

The core process is a general technique known as self-supervised learning , a learning paradigm that leverages the inherent structure of the data itself to generate labels for training. This concept is not exclusive to natural language processing, and has also been employed in other domains. Et voilà !

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Marktechpost

JANUARY 3, 2024

Significance The following are some tools that can used for LLM application development: LangChain LangChain, an open-source framework, empowers developers in AI and machine learning to seamlessly integrate large language models like OpenAI’s GPT-3.5

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Marktechpost

APRIL 25, 2024

Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1. LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text.

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AI Weekly

FEBRUARY 22, 2024

techcrunch.com Microsoft-backed OpenAI valued at $80bn after company completes deal Company to sell existing shares in ‘tender offer’ led by venture firm Thrive Capital, in similar deal as early last year theguardian.com Applied use cases AI is making critical health care decisions. venturebeat.com Ethics China’s Rush to Dominate A.I.

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John Snow Labs

JULY 19, 2023

Exploring the Innovators and Challengers in the Commercial LLM Landscape beyond OpenAI: Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. While OpenAI is well-known, these companies bring fresh ideas and tools to the LLM world. billion in funding by June 2023. Known for their GPT-3.5

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Towards AI

JANUARY 3, 2024

Photo by Annie Spratt on Unsplash Information extraction is the process of automating the retrieval of specific information related to a specific topic from a collection of texts or documents. This generally involves the use of natural language processing techniques. A schema is a collection of properties.

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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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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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Unite.AI

APRIL 16, 2024

In the rapidly advancing field of large language models (LLMs), a new powerful model has emerged – DBRX, an open source model created by Databricks. This LLM is making waves with its state-of-the-art performance across a wide range of benchmarks, even rivaling the capabilities of industry giants like OpenAI's GPT-4.

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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. Why Scikit-LLM? and the user-friendly environment of Scikit-learn.

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IBM Journey to AI blog

FEBRUARY 26, 2024

But it does mean that Meta is deliberately approaching their LLM development and other AI research in a way that they believe may yield AGI eventually. How will Llama 3 compare to OpenAI’s GPT-4? ” This doesn’t necessarily mean that Llama 3 will achieve (or even attempt to achieve) AGI yet. Will Llama 3 be multimodal?

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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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Artificial Corner

JULY 30, 2023

So that’s why I tried in this article to explain LLM in simple or to say general language. Photo by Shubham Dhage on Unsplash Introduction Large language Models (LLMs) are a subset of Deep Learning. No training examples are needed in LLM Development but it’s needed in Traditional Development.

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Mlearning.ai

JUNE 7, 2023

This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks. Running concurrently to BERT’s dominance, another transformative model quietly surfaced — GPT-1, released by OpenAI.

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Marktechpost

AUGUST 6, 2023

Because of this, it can produce better organized, more informative, and more imaginative content than anything made by earlier language models. Genoss is an innovative open-source project to provide a drop-in replacement for proprietary OpenAI models like GPT 3.5 Genoss GPT is a language model that makes use of transformers.

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Marktechpost

MARCH 18, 2025

This approach is valuable for building domain-specific assistants, customer support systems, or any application where grounding LLM responses in specific documents is important. They are crucial for machine learning applications, particularly those involving natural language processing and image recognition.

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Unite.AI

DECEMBER 7, 2023

Recently, there has been considerable speculation within the AI community surrounding OpenAI's alleged project, Q-star. Background of Mystery It all began when the board of governors at OpenAI suddenly ousted Sam Altman , the CEO, and co-founder. Although Altman was reinstated later, questions persist about the events.

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Marktechpost

APRIL 9, 2024

In natural language processing, the advent of large language models (LLMs) has transformed how we interact with textual data. Meet Instructor, a Python library that offers a seamless experience for managing structured outputs from LLMs. models effortlessly.

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Topbots

DECEMBER 5, 2023

Generated with DALL-E 3 In the rapidly evolving landscape of Natural Language Processing, 2023 emerged as a pivotal year, witnessing groundbreaking research in the realm of Large Language Models (LLMs). Top LLM Research Papers 2023 1. Code implementation of GPT-4 is not available.

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Unite.AI

AUGUST 8, 2023

Processing these numbers through a latent vector gives birth to art that mirrors the complexities of human aesthetics. Generative AI Types: Text to Text, Text to Image Transformers & LLM The paper “ Attention Is All You Need ” by Google Brain marked a shift in the way we think about text modeling. Supports 13 programming languages.

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Unite.AI

JUNE 21, 2024

At the core of this transformation is OpenAI, which attracted attention by developing powerful language models, including ChatGPT, GPT-3.5, As we look forward to OpenAI's next model, the anticipation is high, promising advancements that could bring us closer to realizing AGI. and the latest GPT-4o.

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Flipboard

MARCH 30, 2023

The context: Large language models, or LLMs, are algorithms that power artificial intelligence systems such as OpenAI’s ChatGPT. They can ingest huge amounts of data, learn from those datasets to improve the algorithm, and perform a variety of natural language processing tasks.

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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. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication.

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