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Generative AI LLM NLP 
Analytics Vidhya
NOVEMBER 9, 2024
But what if I tell you there’s a goldmine: a repository packed with over 400+ datasets, meticulously categorised across five essential dimensions—Pre-training Corpora, Fine-tuning Instruction Datasets, Preference Datasets, Evaluation Datasets, and Traditional NLP Datasets and more?
Analytics Vidhya
JULY 5, 2023
In a world where language is the bridge connecting people and technology, advancements in Natural Language Processing (NLP) have opened up incredible opportunities.
319
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The Intersection of AI and Sales: Personalization Without Compromise
How to Achieve High-Accuracy Results When Using LLMs
Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact
Unite.AI
JULY 5, 2023
MosaicML is a generative AI company that provides AI deployment and scalability solutions. Their latest large language model (LLM) MPT-30B is making waves across the AI community. On the HumanEval dataset, the model surpasses purpose-built LLM models, such as the StarCoder series.
264 
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.
298 
Unite.AI
SEPTEMBER 27, 2023
Generative AI refers to models that can generate new data samples that are similar to the input data. Having been there for over a year, I've recently observed a significant increase in LLM use cases across all divisions for task automation and the construction of robust, secure AI systems.
304 
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.
319 
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.
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.
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.
331 
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.
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.
189 
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.
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!
116 
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.
248 
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.
76 
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.
104 
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.
159 
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.
82 
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.
126 
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.
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.
176 
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.
94 
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.
147 
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.
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.
111 
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.
273 
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.
85 
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.
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.
264 
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.
105 
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.
80 
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.
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.
128 
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.
127 
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?
241 
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.
126 
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.
246 
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).
117 
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.
129 
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.
126 
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.
AWS Machine Learning Blog
OCTOBER 6, 2023
Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components.
133 
AWS Machine Learning Blog
JANUARY 4, 2024
Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. You can use supervised fine-tuning based on your LLM to improve the effectiveness of text-to-SQL.
138 
AWS Machine Learning Blog
NOVEMBER 1, 2024
Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities.
94
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