Marktechpost

APRIL 10, 2024

However, a groundbreaking new development is set to challenge this status quo and usher in a more inclusive era of language models – the Chinese Tiny LLM (CT-LLM). That’s precisely what the researchers behind CT-LLM have set out to achieve by prioritizing the Chinese language, one of the most widely spoken in the world.

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LLM Natural Language Processing NLP ML 128

Unite.AI

SEPTEMBER 7, 2023

Today, there are numerous proprietary and open-source LLMs in the market that are revolutionizing industries and bringing transformative changes in how businesses function. Despite rapid transformation, there are numerous LLM vulnerabilities and shortcomings that must be addressed.

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LLM Large Language Models Prompt Engineer Prompt Engineering 173

Analytics Vidhya

MAY 23, 2023

With advanced large […] The post 10 Exciting Projects on Large Language Models(LLM) appeared first on Analytics Vidhya. A portfolio of your projects, blog posts, and open-source contributions can set you apart from other candidates. You can demonstrate your skills by creating smaller projects from start to finish.

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Large Language Models LLM Software Development Data Science 332

Ehud Reiter

DECEMBER 19, 2023

Papers mentioned in blogs I have talked about some of the 2023 papers which impressed me in previous blogs, including What LLMs cannot do A bad way to measure hallucination LLM hype brings memories of IBM Watson Future of NLG evaluation: LLMs and high quality human eval? Which is great! D Demszky et al (2023). Proc of WMT-2023.

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NLP Large Language Models LLM Algorithm 124

Becoming Human

APRIL 19, 2024

An ideal defense strategy should make the LLM safe against the unsafe inputs without making it over-defensive on the safe inputs. Figure 1: An ideal defense strategy (bottom) should make the LLM safe against the ‘unsafe prompts’ without making it over-defensive on the ‘safe prompts’. Self-Safety Check of Input (S.

LLM 111

LLM Large Language Models Algorithm Natural Language Processing 111

Explosion

JANUARY 22, 2024

LLMs are paving the way for fast prototyping of NLP applications. Here, Sofie showcases how to build a structured NLP pipeline to mine clinical trials, using spaCy and spacy-llm. Moving beyond a fast prototype, she offers pragmatic solutions to make the pipeline more reliable and cost efficient.

NLP 52

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Marktechpost

NOVEMBER 14, 2023

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). Even with its importance, particular difficulties arise while developing methodologies for clinical NLP. If you like our work, you will love our newsletter.

NLP 123

NLP LLM AI Modeling Large Language Models 123

John Snow Labs

OCTOBER 10, 2023

When building high-performing LLM & NLP systems, most of our time is spent debugging models and iterating over individual issues that lead us to fixing our datasets in an ad-hoc, manual way. The post Adapting LLM & NLP Models to Domain-Specific Data 10x Faster with Better Data appeared first on John Snow Labs.

NLP 52

NLP LLM Algorithm Large Language Models 52

John Snow Labs

JUNE 12, 2023

The latest version of Finance NLP , 1.15, introduces numerous additional features to the existing collection of 926+ models and 125+ Language Models from previous releases of the library. Normalizing date mentions in text This notebook shows how to use Finance NLP to standardize date mentions in the texts to a unique format.

NLP 52

NLP LLM Data Extraction 52

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.

Large Language Models 122

Large Language Models NLP Convolutional Neural Networks Neural Network 122

Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). In the old days, transfer learning was a concept mostly used in deep learning.

Automation 322

Automation Natural Language Processing Large Language Models Deep Learning 322

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

Large Language Models 147

Large Language Models LLM Machine Learning Natural Language Processing 147

John Snow Labs

OCTOBER 10, 2023

This presentation will showcase the transition from traditional logistic regressions to deep learning-based transformer models, LLM inspired sequential transformer based models, multi-task learning, transfer learning. The post LLM and Foundational Models in Ads Ranking appeared first on John Snow Labs.

LLM 98

LLM Deep Learning NLP Machine Learning 98

Marktechpost

FEBRUARY 29, 2024

Existing methods, like direct finetuning of LLMs on user interaction data, show promise in powering various NLP tasks and enhancing user modeling. The researchers from Google research have proposed USER-LLM , a framework integrating user embeddings with LLMs to adapt dynamically to user context.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence LLM Large Language Models 128

Towards AI

DECEMBER 29, 2023

Obviously, the most reliable way to evaluate an LLM system is to create an evaluation dataset and compare the model-generated output with the evaluation set. Sentiment analysis is an iconic task in NLP that has been widely used across various sectors related to customer reviews about products and services.

LLM 119

LLM NLP AI AI 119

Marktechpost

FEBRUARY 27, 2024

Its development responds to the pressing need for a unified interface that simplifies complex LLM workflows, making them more accessible and manageable for researchers. DataDreamer offers a suite of functionalities that significantly lower the barriers to effective LLM use.

LLM 138

LLM Large Language Models Python NLP 138

John Snow Labs

JUNE 13, 2023

The latest version of Legal NLP , 1.15 Updated LLM examples With the increase in the capabilities of the library, we added new examples to help users understand how to perform certain specific tasks: Text summarization The updated notebook now shows an example of how to perform summarization on long documents.

NLP 52

NLP LLM 52

Marktechpost

APRIL 12, 2024

Natural Language Processing (NLP) tasks heavily rely on text embedding models as they translate the semantic meaning of text into vector representations. These representations make it possible to quickly complete a variety of NLP tasks, including information retrieval, grouping, and semantic textual similarity. Million AI Audience?

LLM 109

LLM Large Language Models NLP Natural Language Processing 109

Marktechpost

MARCH 6, 2024

The natural language processing (NLP) field has witnessed significant advancements with the emergence of Large Language Models (LLMs) like GPT and LLaMA. These models have become essential tools for various tasks, prompting a growing need for proprietary LLMs among individuals and organizations.

LLM 108

LLM Large Language Models Neural Network Natural Language Processing 108

John Snow Labs

MAY 29, 2023

Legal NLP 1.14 comes with a lot of new capabilities added to the 926+ models and 125+ Language Models already available in previous versions of the library. Example of NER on specific NDA clauses Summary of the agreement in 4 lines Subpoenas: Carry out NER on subpoenas using Legal NLP. Let’s take a look at each of them!

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LLM NLP BERT 52

John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

Natural Language Processing 98

Natural Language Processing NLP Large Language Models Responsible AI 98

Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to dive into almost every industry.

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Large Language Models LLM Machine Learning Natural Language Processing 131

Marktechpost

SEPTEMBER 13, 2023

Lately, Large language models (LLMs) are excelling in NLP and multimodal tasks but are facing two significant challenges: high computational costs and difficulties in conducting fair evaluations. These costs limit LLM development to a few major players, restricting research and applications. Check out the Paper and Code.

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LLM Large Language Models NLP AI Researcher 128

Marktechpost

NOVEMBER 9, 2023

These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry. They are drawn from both self-constructed and available NLP datasets. They aim to answer inquiries and offer guidance on financial matters.

Large Language Models 123

Large Language Models LLM NLP Natural Language Processing 123

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.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

Topbots

APRIL 29, 2024

This paper, first published in December 2022, may not cover the most recent developments in LLM reasoning but still offers a comprehensive survey of available approaches. They also explore the potential future directions in the field, aiming to bridge the gap between LLM capabilities and human-like reasoning. Reasoning process.

LLM 59

LLM Large Language Models Natural Language Processing AI Researcher 59

John Snow Labs

MAY 30, 2023

John Snow Labs Finance NLP 1.14 This includes questions and queries: LLM demos A new demo has been released showcasing how to use Flan-T5 models, finetuned on legal texts to carry out summarization , text generation and question answering. Let’s take a look at each of them! Demo available here. Fancy trying?

NLP 52

NLP LLM BERT 52

Marktechpost

FEBRUARY 3, 2024

MambaByte MOE Token-free language models have represented a significant shift in Natural Language Processing (NLP), as they learn directly from raw bytes, bypassing the biases inherent in subword tokenization. Using a technique known as LLM-as-a-Judge prompting, the language model assesses and rewards its own outputs for doing this.

Artificial Intelligence 139

Artificial Intelligence Artificial Intelligence LLM Large Language Models 139

Marktechpost

MARCH 19, 2024

IBM researchers have introduced LAB (Large-scale Alignment for chatbots) to address the scalability challenges encountered during the instruction-tuning phase of training large language models (LLMs). In conclusion, the paper introduces LAB as a novel methodology to address the scalability challenges in instruction tuning for LLMs.

Large Language Models 129

Large Language Models LLM Natural Language Processing Chatbots 129

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.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

Topbots

FEBRUARY 19, 2024

However, building a successful LLM application involves much more than just leveraging advanced technology. When embarking on the journey of building an LLM application, one of the first and most crucial decisions is choosing the foundation model. Create Targeted Evaluation Sets for Comparing LLM Performance in Your Specific Use Case.

LLM 64

LLM Natural Language Processing Automation Data Ingestion 64

John Snow Labs

NOVEMBER 28, 2023

We are thrilled to announce the release of NLP Lab version 5.5, Integration with Azure OpenAI Service NLP Lab 5.5 Begin by registering the external service provider with NLP Lab. Currently, NLP Lab supports Azure OpenAI and OpenAI as service providers. Select the “Create external LLM Prompt” tab.

NLP 52

NLP OpenAI LLM Natural Language Processing 52

John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems , we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

LLM 52

LLM Chatbots Large Language Models NLP 52

John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). RAG LLMs have the advantage of reducing hallucinations, by explaining the source of each fact, and enabling the use of private documents to answer questions.

LLM 52

LLM Chatbots Large Language Models NLP 52

John Snow Labs

JULY 5, 2023

We are delighted to announce the release of Spark NLP 5.0, We are delighted to announce the release of Spark NLP 5.0, With this support, you can look forward to faster inference, automatic optimization, and quantization when exporting your LLM models. Spark NLP ONNX Introducing support for ONNX Runtime in Spark NLP.

NLP 52

NLP BERT LLM Inference Engine 52

John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). billion by 2028, LLMs play a pivotal role in this growth trajectory. At the recent NLP Summit, experts from academia and industry shared their insights.

Large Language Models 52

Large Language Models NLP Metadata LLM 52

Towards AI

MARCH 17, 2023

Large Language Models (LLMs) have come a long way in recent years. 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. The LLM itself can be conveniently accessed through a simple API call.

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NLP LLM Large Language Models Prompt Engineer 98