Marktechpost

JULY 29, 2023

Natural Language Processing has evolved significantly in recent years, especially with the creation of sophisticated language models. Almost all natural language tasks, including translation and reasoning, have seen notable advances in the performance of well-known models like GPT 3.5, GPT 4, BERT, PaLM, etc.

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Marktechpost

JULY 3, 2023

Almost every industry is utilizing the potential of AI and revolutionizing itself. The excellent technological advancements, particularly in the areas of Large Language Models (LLMs), LangChain, and Vector Databases, are responsible for this remarkable development.

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Marktechpost

JULY 1, 2023

Large Language Models (LLMs) have proven to be really effective in the fields of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Famous LLMs like GPT, BERT, PaLM, etc., Being trained on massive amounts of datasets, these LLMs capture a vast amount of knowledge.

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Flipboard

JULY 10, 2023

LLMs stands for Large Language Models. These are advanced machine learning models that are trained to comprehend massive volumes of text data and generate natural language. LLMs are trained on massive amounts of data, often billions of words, to develop a broad understanding of language.

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Marktechpost

AUGUST 3, 2023

Also, the limited number of available music-language datasets poses a challenge. With the scarcity of datasets, training a music captioning model successfully doesn’t remain easy. Large language models (LLMs) could be a potential solution for music caption generation. They opted for the powerful GPT-3.5

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Marktechpost

JULY 24, 2023

Large Language Models (LLMs) have successfully proven to be the best innovation in the field of Artificial Intelligence. From BERT, PaLM, and GPT to LLaMa DALL-E, these models have shown incredible performance in understanding and generating language for the purpose of imitating humans.

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Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. Training these models, however, is challenging. Unicron’s methodology is an embodiment of innovation in LLM training resilience.

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Marktechpost

NOVEMBER 22, 2023

Large language models are becoming increasingly complex, making evaluation more difficult. An embedding similarity search looks at the embeddings of previously trained models (like BERT) to discover related and maybe polluted cases. All credit for this research goes to the researchers of this project.

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Marktechpost

JULY 22, 2023

Large Language Models (LLMs) are the current hot topic in the field of Artificial Intelligence. The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives. Everything runs inside the browser with no server support and is accelerated with WebGPU.

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Marktechpost

APRIL 6, 2024

The evolution of large language models (LLMs) marks a transition toward systems capable of understanding and expressing languages beyond the dominant English, acknowledging the global diversity of linguistic and cultural landscapes. Codex further explores the integration of code generation within LLMs.

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AssemblyAI

MAY 3, 2023

We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning. The problem of how to mitigate the risks and misuse of these AI models has therefore become a primary concern for all companies offering access to large language models as online services.

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Marktechpost

JUNE 3, 2023

With the introduction of Large Language Models like GPT, BERT, and LLaMA, almost every industry, including healthcare, finance, E-commerce, and media, is making use of these models for tasks like Natural Language Understanding (NLU), Natural Language Generation (NLG), question answering, programming, information retrieval and so on.

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Marktechpost

JULY 19, 2023

Large language models (LLMs) are computer models capable of analyzing and generating text. Most current LLMs are text-only, i.e., they excel only at text-based applications and have limited ability to understand other types of data. Examples of text-only LLMs include GPT-3 , BERT , RoBERTa , etc.

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Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. However, the recent surge in generative AI has made it the new hot topic. Sign up for more AI research updates.

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Marktechpost

JUNE 19, 2023

Large Language Models have shown remarkable performance in a massive range of tasks. From producing unique and creative content and questioning answers to translating languages and summarizing textual paragraphs, LLMs have been successful in imitating humans.

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Marktechpost

JULY 5, 2023

People often think improving a model with relevant domain expertise would provide positive outcomes. However, early legal LLM (LawGPT) still has a lot of hallucinations and inaccurate results, so this isn’t the case. At first, they understood the demand for a Chinese legal LLM. It is based on the LLM.

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Marktechpost

JUNE 12, 2023

Large Language Models are rapidly advancing with the huge success of Generative Artificial Intelligence in the past few months. This chatbot, based on Natural Language Processing (NLP) and Natural Language Understanding (NLU), allows users to generate meaningful text just like humans.

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Large Language Models Natural Language Processing BERT Artificial Intelligence 101

Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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Large Language Models Neural Network Artificial Intelligence Artificial Intelligence 59

Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI 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.

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LLM Large Language Models Natural Language Processing OpenAI 52

Towards AI

AUGUST 10, 2023

Today, a similar dynamic is playing out in the world of large language models (LLMs) and cloud computing. Major players like Amazon, Microsoft, and Google are racing to meet surging demand for LLMs like GPT-3. But much like the Razr, access to the most advanced models is limited to specific cloud platforms.

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Marktechpost

JULY 19, 2023

Large Language Models have shown remarkable performance in a massive range of tasks. From producing unique and creative content and questioning answers to translating languages and summarizing textual paragraphs, LLMs have been successful in imitating humans.

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AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

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ODSC - Open Data Science

FEBRUARY 14, 2023

It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. But, like other large language models, it can be amusingly wrong. One of the key features of large language models is their ability to generate human-like text.

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AWS Machine Learning Blog

APRIL 29, 2024

Historically, natural language processing (NLP) would be a primary research and development expense. In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows.

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Mlearning.ai

JUNE 8, 2023

Hidden secret to empower semantic search This is the third article of building LLM-powered AI applications series. From the previous article , we know that in order to provide context to LLM, we need semantic search and complex query to find relevant context (traditional keyword search, full-text search won’t be enough).

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Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.

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Snorkel AI

MARCH 19, 2024

Read on to see how Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours. In the landscape of modern enterprise applications, large language models (LLMs) like Google Gemini and PaLM 2 stand at the forefront of transformative technologies.

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Data Scientist AI AI LLM 52

Unite.AI

SEPTEMBER 20, 2023

Hugging Face is an AI research lab and hub that has built a community of scholars, researchers, and enthusiasts. In a short span of time, Hugging Face has garnered a substantial presence in the AI space. These are deep learning models used in NLP.

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John Snow Labs

MAY 8, 2024

Pathology, an aspect of diagnosis is undergoing significant changes, with the emergence of Large Language Models (LLMs). Propelled by advancements in intelligence (AI) and machine learning (ML) LLMs are reshaping the way we analyze and interpret the intricate datasets found in pathology.

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Snorkel AI

OCTOBER 17, 2023

How does BloombergGPT, which was purpose-built for finance, differ in its training and design from generic large language models ? If you look at recent announcements from companies about new large language models, the training-data mix and distribution is often one of the pieces they keep most secret.

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Large Language Models NLP Prompt Engineer Prompt Engineering 64

Snorkel AI

OCTOBER 17, 2023

How does BloombergGPT, which was purpose-built for finance, differ in its training and design from generic large language models ? If you look at recent announcements from companies about new large language models, the training-data mix and distribution is often one of the pieces they keep most secret.

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Large Language Models NLP Prompt Engineer Prompt Engineering 59

Marktechpost

NOVEMBER 26, 2023

Among the daily deluge of news about new advancements in Large Language Models (LLMs), you might be asking, “how do I train my own?” ” Today, an LLM tailored to your specific needs is becoming an increasingly vital asset, but their ‘Large’ scale comes with a price.

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Unite.AI

NOVEMBER 23, 2023

Introduction The evolution of open large language models (LLMs) has significantly impacted the AI research community, particularly in developing chatbots and similar applications. In developing Zephyr-7B, researchers tackled the challenge of aligning a small open LLM entirely through distillation.

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Topbots

JUNE 29, 2023

In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; 2]; for a survey over alternative approaches beyond LLMs, readers are referred to [3]).

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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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