John Snow Labs

SEPTEMBER 24, 2024

Spark NLP 5.5 dramatically enhances the landscape of large language model (LLM) inference. Spark NLP 5.5 This versatility ensures that organizations can leverage their existing infrastructure while scaling their LLM & NLP capabilities. The post Spark NLP 5.5:

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NLP LLM Large Language Models AI 52

Analytics Vidhya

SEPTEMBER 6, 2024

Despite being trained on vast datasets, LLMs can falter with nuanced or context-heavy queries, leading to […] The post How Can Prompt Engineering Transform LLM Reasoning Ability? This struggle often stems from the models’ limited reasoning capabilities or difficulty in processing complex prompts.

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Prompt Engineer Prompt Engineering LLM Large Language Models 288

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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LLM BERT Natural Language Processing NLP 236

Analytics Vidhya

AUGUST 28, 2024

AdalFlow provides a unified library with strong string processing, flexible tools, multiple output formats, and model monitoring like […] The post Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Abstraction appeared first on Analytics Vidhya.

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LLM Large Language Models NLP Generative AI 314

Analytics Vidhya

JANUARY 29, 2024

As LLMs become more powerful and sophisticated, so does the importance of measuring the performance of LLM-based applications. Evaluating LLMs is […] The post LangChain: Automating Large Language Model (LLM) Evaluation appeared first on Analytics Vidhya. Prominent examples include OpenAI’s GPT-3.5,

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Large Language Models LLM Automation OpenAI 316

Analytics Vidhya

FEBRUARY 27, 2024

LLMs have even shown promise in more specialized domains, like healthcare, finance, and law. Google has been […] The post How to Use Gemma LLM? appeared first on Analytics Vidhya.

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LLM Large Language Models Natural Language Processing BERT 328

Unite.AI

OCTOBER 2, 2023

Research has shown that large pre-trained language models (LLMs) are also repositories of factual knowledge. When fine-tuned, they can achieve remarkable results on a variety of NLP tasks. Chatgpt New ‘Bing' Browsing Feature Prompt engineering is effective but insufficient Prompts serve as the gateway to LLM's knowledge.

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LLM Prompt Engineer Prompt Engineering Large Language Models 298

Ehud Reiter

JUNE 10, 2024

I’ve had several chats over the past month about whether LLM-based evaluation can replace human evaluation. Of course the LLM evaluation must be done well, for example LLMs should not be asked to evaluate their own output (ie, do not ask GPT4 to evaluate text produced by GPT4).

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LLM NLP 167

John Snow Labs

JUNE 26, 2024

Learn how the open-source Spark NLP library provides optimized and scalable LLM inference for high-volume text and image processing pipelines. This session dives into optimized LLM inference without the overhead of commercial APIs or extensive hardware setups.

NLP 52

NLP LLM Large Language Models Generative AI 52

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. The no-code NLP Lab platform has experienced 5x growth by teams training, tuning, and publishing AI models.

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NLP LLM Generative AI Large Language Models 94

Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

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Large Language Models LLM Auto-complete Natural Language Processing 130

ML @ CMU

OCTOBER 29, 2024

Recent research has shown that large language models (LLMs) such as ChatGPT are susceptible to jailbreaking attacks, wherein malicious users fool an LLM into generating toxic content (e.g., The next big development stirring the waters of AI frenzy is called a large language model, or LLM for short. bomb-building instructions).

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Robotics LLM Chatbots Large Language Models 124

John Snow Labs

AUGUST 22, 2023

John Snow Labs , the award-winning Healthcare AI and NLP company, announced the latest major release of its Spark NLP library – Spark NLP 5 – featuring the highly anticipated support for the ONNX runtime. State-of-the-Art Accuracy, 100% Open Source The Spark NLP Models Hub now includes over 500 ONYX-optimized models.

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Marktechpost

SEPTEMBER 20, 2024

This limitation poses a significant hurdle for AI-driven applications requiring structured LLM outputs integrated into their data streams. Sketch enables out-of-the-box deployment of LLMs for unfamiliar tasks while maintaining output format correctness and conformity.

LLM 119

LLM Large Language Models NLP Natural Language Processing 119

SAS Software

SEPTEMBER 6, 2024

The post Three ways NLP can be used to identify LLM-related private data leakage and reduce risk appeared first on SAS Blogs. We often hear about cyberattacks, hackers, ransomware, and other nefarious deeds in the news, but not all data breaches are caused by third parties.

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NLP LLM Natural Language Processing Text Analytics 52

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

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 129

Towards AI

MAY 13, 2024

OpenAI’s ChatGPT changed that with its incredible reasoning abilities, which allowed a Large Language Model (LLM) to decide how to answer users’ questions on various topics without explicitly programming a flow for handling each topic. You just “prompt” the LLM on which topics to respond to and which to decline and let the LLM decide.

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NLP Large Language Models Chatbots LLM 91

Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Mdabdullahalhasib Originally published on Towards AI. Understand the concept of vector embedding, why it is needed, and implementation with LangChain. This member-only story is on us. Upgrade to access all of Medium.

NLP 109

NLP LLM Neural Network Generative AI 109

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

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.

LLM 130

LLM Large Language Models Chatbots Artificial Intelligence 130

Marktechpost

SEPTEMBER 14, 2024

In contrast, this paper finds that LLM-generated ideas can be more novel than those from human experts in research ideation. This study addresses the lack of comprehensive evaluations by rigorously assessing LLM capabilities in producing novel, expert-level research ideas.

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Large Language Models NLP LLM ML 107

Unite.AI

OCTOBER 25, 2023

In-context learning has emerged as an alternative, prioritizing the crafting of inputs and prompts to provide the LLM with the necessary context for generating accurate outputs. You have the flexibility to customize the underlying Large Language Model (LLM) as per your project needs.

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LLM OpenAI Prompt Engineer Prompt Engineering 304

Marktechpost

NOVEMBER 1, 2024

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. However, NLP for Hindi still needs to be improved, mainly due to a need for high-quality Hindi data and language-specific models.

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Large Language Models NLP Natural Language Processing Artificial Intelligence 128

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 Engineer Prompt Engineering LLM Python 220

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

Analytics Vidhya

JUNE 25, 2024

Researchers and innovators are creating a wide range of tools and technology to support the creation of LLM-powered applications. With the aid of AI and NLP innovations like LangChain and […] The post Automating Web Search Using LangChain and Google Search APIs appeared first on Analytics Vidhya.

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Automation NLP Artificial Intelligence Artificial Intelligence 300

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 315

Unite.AI

NOVEMBER 29, 2023

Furthermore, developers have demonstrated that these smaller LLM frameworks can be trained further using a proprietary-models based dSFT or Distilled Supervised Fine-Tuning approach, that uses the output from an effective teacher model as supervised data for the student model in an attempt to boost the accuracy.

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LLM Large Language Models Natural Language Processing Artificial Intelligence 173

Marktechpost

SEPTEMBER 8, 2024

Large language models (LLMs) have revolutionized natural language processing (NLP), particularly for English and other data-rich languages. The development of Cantonese-specific LLMs faces significant challenges due to limited research and resources.

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Large Language Models NLP Neural Network Data Scarcity 100

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.

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NLP LLM Data Extraction 52

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 129

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.

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NLP LLM AI Modeling Large Language Models 124

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

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.

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NLP LLM 52

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

Marktechpost

AUGUST 6, 2024

Advancements in NLP have led to the development of large language models (LLMs) capable of performing complex language-related tasks with high accuracy. A significant problem in NLP is the reliance on human annotations for model evaluation. Addressing this problem is crucial for advancing NLP technologies and their applications.

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LLM NLP Large Language Models AI 124