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 343

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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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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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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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.

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Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). These models, like GPT-3 and GPT-4, can generate highly coherent and contextually relevant text.

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Towards AI

OCTOBER 31, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy. Learn AI Together Community section! AI poll of the week!

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IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

Researchers developed Medusa , a framework to speed up LLM inference by adding extra heads to predict multiple tokens simultaneously. This post demonstrates how to use Medusa-1, the first version of the framework, to speed up an LLM by fine-tuning it on Amazon SageMaker AI and confirms the speed up with deployment and a simple load test.

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LLM ML Natural Language Processing Machine Learning 77

Flipboard

FEBRUARY 10, 2025

DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek. Generative AI on SageMaker AI SageMaker AI, a fully managed service, provides a comprehensive suite of tools designed to deliver high-performance, cost-efficient machine learning (ML) and generative AI solutions for diverse use cases.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM in SageMaker JumpStart is available in two sizes: Medical LLM – Small and Medical LLM – Medium.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. You can use supervised fine-tuning (SFT) and instruction tuning to train the LLM to perform better on specific tasks using human-annotated datasets and instructions.

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AWS Machine Learning Blog

DECEMBER 23, 2024

Customers need better accuracy to take generative AI applications into production. This enhancement is achieved by using the graphs ability to model complex relationships and dependencies between data points, providing a more nuanced and contextually accurate foundation for generative AI outputs.

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Generative AI Natural Language Processing Prompt Engineering Prompt Engineer 124

IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? An open-source model, Google created BERT in 2018.

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AWS Machine Learning Blog

MARCH 17, 2025

Enter LLM function calling , a powerful capability that addresses these challenges by allowing LLMs to interact with external functions or APIs, enabling them to access and use additional data sources or computational capabilities beyond their pre-trained knowledge. Amazon Bedrock supports a variety of foundation models.

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John Snow Labs

JANUARY 25, 2024

John Snow Labs , the AI for healthcare company, has completed its highest growth year in company history. Attributed to its state-of-the-art artificial intelligence (AI) models and proven customer success, the focus on generative AI has gained the company industry recognition.

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AWS Machine Learning Blog

FEBRUARY 18, 2025

By using generative AI, engineers can receive a response within 510 seconds on a specific query and reduce the initial triage time from more than a day to less than 20 minutes. Systems security With Amazon Bedrock, you have full control over the data used to customize the FMs for generative AI applications such as RCA.

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Unite.AI

SEPTEMBER 1, 2023

Let’s begin here: Yes, the opportunities for Generative AI (GenAI) are immense. Many companies have experience with natural language processing (NLP) and low-level chatbots, but GenAI is accelerating how data can be integrated, interpreted, and converted into business outcomes. And yes, technology is getting smarter.

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Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Mdabdullahalhasib Originally published on Towards AI. Source: Image by Author (converting word into Vector) If you want to learn something efficiently, first, you should ask questions yourself or generate questions about the topics. This member-only story is on us.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text.

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Data Extraction Neural Network Large Language Models NLP 273

ODSC - Open Data Science

MARCH 4, 2025

Be sure to check out their talk, Guardrails in Generative AI Workflows via Orchestration , there! Artificial Intelligence has been one of the fastest-growing technology fields, and generative AI has been at its forefront. For LLM output, this can check that the generated output is appropriate for end-user viewing.

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Analytics Vidhya

SEPTEMBER 18, 2024

Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits.

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Natural Language Processing Large Language Models NLP LLM 306

AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? Generative AI is igniting a new era of innovation within the back office.

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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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AWS Machine Learning Blog

MARCH 18, 2025

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. LLM integration The preprocessed text is fed into a powerful LLM tailored for the healthcare and life sciences (HCLS) domain.

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Marktechpost

JULY 3, 2024

Picnic: Supporting Customer Requests Picnic has broken customer support language barriers using natural language processing (NLP). This NLP-driven support system enhances customer service quality and helps Picnic cater to a diverse customer base. This capability is crucial in maintaining a secure and authentic user environment.

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LLM Natural Language Processing Large Language Models Big Data 130

Unite.AI

FEBRUARY 11, 2025

While the industry continues to attract unprecedented levels of investment and attentionespecially within the generative AI landscapeseveral underlying market dynamics suggest we're heading toward a big shift in the AI landscape in the coming year.

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Large Language Models LLM OpenAI NLP 133

John Snow Labs

APRIL 3, 2025

However, with Healthcare NLP s task-based pretrained pipelines, these challenges can be overcome with simple one-liner solutions that tackle everything from entity recognition to de-identification. Similarly, Healthcare NLP pipelines follow this principle, enabling seamless text processing for clinical applications. What Is a Pipeline?

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NLP Explainability Large Language Models Natural Language Processing 40

IBM Journey to AI blog

SEPTEMBER 19, 2023

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. How does generative AI code generation work? What are the benefits of using generative AI for code?

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O'Reilly Media

NOVEMBER 19, 2024

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. at Facebook—both from 2020.

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AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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AWS Machine Learning Blog

MARCH 14, 2025

Finally, metrics such as ROUGE and F1 can be fooled by shallow linguistic similarities (word overlap) between the ground truth and the LLM response, even when the actual meaning is very different. With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value.

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IBM Journey to AI blog

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts.

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AWS Machine Learning Blog

JUNE 18, 2024

This post explores how generative AI can make working with business documents and email attachments more straightforward. The solution covers two steps to deploy generative AI for email automation: Data extraction from email attachments and classification using various stages of intelligent document processing (IDP).

Automation 116

Automation IDP Generative AI Data Extraction 116

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.

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Natural Language Processing NLP Large Language Models Chatbots 98

AWS Machine Learning Blog

JUNE 25, 2024

However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content. Introduction to guardrails for LLMs The following figure shows an example of a dialogue between a user and an LLM.

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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