Discover how we use LLMs for robust high-quality contract summarization and understanding for our legal clients as well as other businesses.
October 31, 2024
Are Dialogflow chatbots still relevant when LLM-based chatbots are available? Yes. We'll show you how you can combine them to get the best of both worlds.
Use AI-powered chatbots and the power of large language models to help your e-commerce customers find the exact products they have in mind in your shop.
Find out how AI-powered chatbots can make WordPress even better for your business. We’ll show you how custom chatbots compare to Wordpress’s plugins.
In this step-by-step guide you’ll learn how to set up a custom AI-powered Zendesk chatbot to improve your customer service and sales CRM.
Using custom Salesforce chatbots, delight your customers with comprehensive and detailed answers to all their complex questions and issues.
How we build modern retrieval augmented generation systems (RAG) and how they’ve changed since 2021
Is Llama 2 the best open-source LLM out there? Or is it TII Falcon or MosaicML MPT? Discover the answers in this article. Some of the results may surprise you!
Explore how we create comprehensive patient record summaries using a state-of-the-art pipeline with language-image models and large language models.
Run GPT style models on local laptops and edge devices using GPT4All
How can you improve your chatbot experience with your customers to increase engagement? Create rewarding chatbot experiences using the latest research from human-computer interaction and psychology.
MosaicML enables you to train a 30-billion parameter LLM from scratch in a few hours. Learn how to do it efficiently in this guide.
Learn how you can apply reinforcement learning from human feedback to open-source LLMs to create powerful chatbots and autonomous agents for your business.
Take a look at how the prompting framework PEARL works and how it improves the results on long form documents for summarizing and Q&A
With methodical fine-tuning and a dynamic prompting system, chatbots powered by open-source large language models can provide highly meaningful and personalized customer support. Find out how!
LLMs have moved past single task prompts and pipeline based operations to create autonomous agents that plan and execute on tasks.
Can Google's Bard generate results that are demonstrably better in quality and versatility than OpenAI's popular GPT-4? Find out in this Bard vs. GPT-4 battle.
Find out how ReAct prompting enables you to introduce human-like reasoning and action planning into your LLM-assisted business workflows for better results.
How good is OpenLLaMA? Is it something you should consider if you're looking at LLMs to streamline your business workflows? Let’s take a look at how it does on common production tasks.
Explore the world of high-resolution image inpainting with the AOT-GAN model. This blog post delves into the challenges, solutions, and impressive results of the AOT-GAN model, providing a comprehensive guide on how to install, use, and evaluate this powerful tool for image inpainting
Explore how DollyV2, a new large language model that's free for any type of commercial use, works and fares on language tasks like chatbots and medical reports.
LLMs can generate more accurate answers by reasoning out difficult problems and questions. Find out how to unlock this power using chain-of-thought prompting.
Explore how the Vicuna and FastChat models from LMSYS fare on various language tasks and learn how to fine-tune and deploy them for your business needs.
From customer reviews to medical reports, find out how GPT-4 zero-shot summarization has the ability to streamline document understanding workflows.
Explore how OpenAI's GPT-4 can be utilized for meeting summarization using zero-shot and aspect-based approaches. Learn about the use of multi-task prompting, abstractive summarization, and modern chunking architectures to distill valuable insights from lengthy meeting transcripts. Discover how aspect-based summarization can cater to various domain requirements, offering unique perspectives from the same transcript.
Learn how improving legal document summarization using deep clustering approaches can yield more informative and relevant summaries for long legal documents.
How we build SOTA dialogue summarization systems for customer service, meeting transcripts, and sales calls. Explore zero-shot, few-shot, and aspect-based environments.
Discover how GPT-4 medical record summarization and advanced AI technologies can transform health care operations, streamline workflows, and enable providers to focus on patients. Explore our state-of-the-art medical report processing pipeline.
Find out how you can improve content marketing and social media campaigns by creating unique, relevant images using image generation models like DALL-E Mini.
Learn how CLIPSeg segmentation, in combination with GPT-4 and ChatGPT, can enable diverse applications from medical image diagnosis to remote sensing.
Can GPT-4 make your life as a finance or banking employee easier? Learn how GPT-4 and NLP can be used in finance to increase revenues and streamline workflows.
Boost your conversions and sales numbers with NLP in sales using OpenAI's GPT-3 and GPT-4. You can use chatbots to improve customer experience and loyalty.
Explore the use of GPT for opinion summarization through innovative pipeline methods, evaluation metrics like ROUGE and BERTScore, and human evaluation insights. Dive into novel entailment-based evaluation tools for a comprehensive understanding of model performance in capturing diverse user opinions.
Come aboard the large language model revolution with our deep dive on AI21 vs. GPT-3 for business use cases like ad copy generation and math proof generation.
A technical guide to using BERT for extractive summarization on lectures that outperforms other NLP models
Discover how prompt based LLMs like GPT-3 & GPT-4 are transforming news summarization with its zero-shot capabilities and adaptability to specialized tasks like keyword-based summarization. Learn about the limitations of current evaluation metrics and the potential future directions in text summarization research.
Discover the PEZ method for learning hard prompts through optimization, a powerful technique that enhances generative models for image generation and language tasks, improves transferability, and enables few-shot learning
A deep look at how recurrent feature reasoning outperforms other image inpainting methods for difficult use cases and popular datasets.
See a comparison of GPT-3 vs. GPT-J, a self-hosted, customizable, open-source transformer-based large language model you can use for your business workflows.
We compare 12 AI text summarization models through a series of tests to see how BART text summarization holds up against GPT-3, PEGASUS, and more.
Let’s take a look at what intent classification is in conversational ai and how you can build a GPT-3 intent classification model for conversational ai and chatbot pipelines.
Let's build a custom CTA generator that you'll actually want to use for your website copy
We’re going to look at how we built a state of the art NLP pipeline for blended summarization and NER to process master service agreements (MDAs) that vary the outputs based on the input document and what is deemed important information.
How we leveraged large language models to build a legal clause rewriting pipeline that generates stronger language and more clarity in legal clauses
We built a custom GPT-3 pipeline to automate UPC code matching for both full and partial UPC codes. Our model handles insane levels of noise and input source variation
Let’s take a look at the 5 easy steps to start using a production level GPT-3 language translation pipeline for any use case.
The key components to building a gpt-3 summarizer with short & long-form summarization for news articles, blog posts, legal documents, and more.
Here's 5 of the most valuable ways to convert unstructured text to structured data with natural language processing
7 different ways to extract valuable information from unstructured text using algorithms such as GPT-3, spaCy, and LDA.
A deep understanding of how we use gpt-3 and other NLP processes to build flexible chatbot architectures that can handle negotiation, multiple conversation turns, and multiple sales tactics to increase conversions.
The popular HR company O.C. Tanner, which has been in business since 1927 and has over 1500 employees, was looking to research and design two GPT-3 software products to be used as internal tools with their clients. GPT-3 based products can be difficult to outline and design given the sheer lack of publicly available information around optimizing and improving these systems to a production level.
We’re going to walk through building a production level twitter sentiment analysis classifier using GPT-3 with the popular tweet dataset Sentiment140.
We built a GPT-3 based software solution to automate raw data processing and data classification. Our model handles keyword extraction, named entity recognition, text classification | Case Study
We built a custom GPT-3 pipeline for key topic extraction for an asset management company that can be used across the financial domain | Case Study
How you can use GPT-3 to create higher order product categorization and product tagging from your ecommerce listings, and how you can create a powerful product taxonomy system with ai.
GPT-3 is one of the most versatile and transformative components that you can include in your framework, application or service. However, sensational headlines have obscured its wide range of capabilities since its launch. Let’s take a look at the ways that companies and researchers are achieving real-world results with GPT-3, and examine the untapped potential of this 'celebrity AI'.