IBM Journey to AI blog

SEPTEMBER 3, 2024

Hay argues that part of the problem is that the media often conflates gen AI with a narrower application of LLM-powered chatbots such as ChatGPT, which might indeed not be equipped to solve every problem that enterprises face. This is good news because the LLM is often the costliest piece of the value chain.

Generative AI 308

Generative AI LLM Large Language Models AI 308

Unite.AI

MARCH 15, 2024

Features AI tools: Moreover, You.com presents a variety of AI-enhanced tools, including an image generator, a chatbot, and a writer. Moreover, the search engine uses LLM combined with live data to answer questions and summarize information based on the top sources. Furthermore, basic access to Andi Search is completely free.

AI 306

AI AI OpenAI Chatbots 306

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

Towards AI

JANUARY 23, 2025

As you already know, we recently launched our 8-hour Generative AI Primer course, a programming language-agnostic 1-day LLM Bootcamp designed for developers like you. Finally, it discusses PII masking for cloud-based LLM usage when local deployment isnt feasible. Author(s): Towards AI Editorial Team Originally published on Towards AI.

Neural Network 93

Neural Network Computer Vision LLM AI 93

AWS Machine Learning Blog

MARCH 18, 2025

Sonnet on Amazon Bedrock as our LLM to generate SQL queries for user inputs. This retrieved data is used as context, combined with the original prompt, to create an expanded prompt that is passed to the LLM. Solution overview This solution is primarily based on the following services: Foundational model We use Anthropics Claude 3.5

LLM 81

LLM Metadata Large Language Models Python 81

Towards AI

MAY 20, 2023

This new era of custom LLMs marks a significant milestone in the quest for more customizable and efficient language processing solutions. Challenges in building custom LLMs include architecture selection, data quality, bias mitigation, content moderation, resource management, and expertise.

LLM 98

LLM Large Language Models Chatbots Natural Language Processing 98

AWS Machine Learning Blog

MARCH 20, 2025

Next, Amazon Comprehend or custom classifiers categorize them into types such as W2s, bank statements, and closing disclosures, while Amazon Textract extracts key details. Amazon API Gateway (WebSocket API) facilitates real-time interactions, enabling users to query the knowledge base dynamically via a chatbot or other interfaces.

Automation 108

Automation IDP Generative AI Prompt Engineering 108

Unite.AI

AUGUST 28, 2023

These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives. Chatbots & Early Voice Assistants : As technology evolved, so did our interfaces. Tools like Siri, Cortana, and early chatbots simplified user-AI interaction but had limited comprehension and capability.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

Towards AI

DECEMBER 20, 2024

My trusty lab assistant, ChatBot 3.7 How I found myself deep into open-source LLM safety tools You see, AI safety isnt just about stopping chatbots from making terrible jokes (though thats part of it). Its about preventing your LLMs from spewing harmful, biased, or downright dangerous content. At first, I scoffed.

Chatbots 103

Chatbots LLM AI Categorization 103

Marktechpost

JANUARY 30, 2025

EICopilot is an LLM-based chatbot that utilizes a novel data preprocessing pipeline that optimizes database queries. Based on the above score, the query was categorized as simple, moderate, or complex. For the LLMs, EICopilot utilized ErnieBot, ErnieBot-Speed, and Llama3-8b models.

Chatbots 78

Chatbots Natural Language Processing Categorization Data Platform 78

Marktechpost

APRIL 1, 2024

Its integration into LLMs has resulted in widespread adoption, establishing RAG as a key technology in advancing chatbots and enhancing the suitability of LLMs for real-world applications. When it finds a match or multiple matches, it retrieves the related data, converts it to human-readable words, and passes it back to the LLM.

LLM 125

LLM Metadata Large Language Models Categorization 125

Marktechpost

OCTOBER 5, 2024

Currently, this CNN is trained on a COCO dataset that categorizes around 80 objects. The form factor for the phone was split between chatbot and XR objects. The HALIE survey results for both Chatbot and XR were similar. This new AOI paradigm is promising and would grow with acceleration in LLM functionalities.

Large Language Models 109

Large Language Models Computer Vision Chatbots Categorization 109

Viso.ai

AUGUST 15, 2024

Chatbots are AI agents that can simulate human conversation with the user. The generative AI capabilities of Large Language Models (LLMs) have made chatbots more advanced and more capable than ever. This makes any business want their own chatbot, answering FAQs or addressing concerns. Let’s get started.

Chatbots 52

Chatbots LLM Large Language Models AI Chatbots 52

AssemblyAI

DECEMBER 7, 2023

Recent progress in large language models (LLMs) has sparked interest in adapting their cognitive capacities beyond text to other modalities, such as audio.   Generalization here refers to the model's ability to adapt appropriately to new, previously unseen data drawn from the same distribution as the one used to train the model.

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Explainability Large Language Models AI AI 278

Unite.AI

OCTOBER 14, 2024

The concern at the heart of the short paper is that people may develop emotional dependence on AI-based systems – as outlined in a 2022 study on the gen AI chatbot platform Replika ) – which actively offers an idiom-rich facsimile of human communications.

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Robotics Chatbots AI AI 162

Marktechpost

OCTOBER 4, 2024

Natural language processing (NLP) has seen rapid advancements, with large language models (LLMs) leading the charge in transforming how text is generated and interpreted. These models have showcased an impressive ability to create fluent and coherent responses across various applications, from chatbots to summarization tools.

LLM 113

LLM Natural Language Processing Large Language Models Categorization 113

IBM Journey to AI blog

JULY 17, 2023

Generative AI auto-summarization creates summaries that employees can easily refer to and use in their conversations to provide product, service or recommendations (and it can also categorize and track trends). The LLM solution has resulted in an 80% reduction in manual effort and in 90% accuracy of automated tasks.

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Generative AI Auto-complete Automation AI 171

Marktechpost

DECEMBER 12, 2023

Chatbots often use large language models (LLMs), known for their many useful skills, including natural language processing, reasoning, and tool proficiency. In comparison to the more powerful LLMs, this severely restricts their potential. This fills a need in the field by using LLMs as a foundation for moderation.

Generative AI 104

Generative AI AI Modeling Large Language Models LLM 104

Snorkel AI

AUGUST 1, 2024

Why is customized and automated LLM evaluation so critical? Without customized LLM evaluation, enterprises can’t use LLM applications for business-critical tasks. In the context of LLM evaluation, they enable a fine-grained understanding of model performance across different business-critical areas.

LLM 52

LLM Large Language Models Data Scientist Automation 52

AssemblyAI

MAY 14, 2024

Speech AI technology (including Speech-to-Text, Audio Intelligence, and LLM capabilities ) has quickly become an integral part of thousands of organizations and developer workflows. It automatically categorizes, summarizes, and extracts actionable insights from customer calls, such as flagging questions and complaints.

Natural Language Processing 147

Natural Language Processing Automation Robotics Categorization 147

Marktechpost

DECEMBER 6, 2023

RAG enhances the capabilities of LLM by obtaining pertinent data from other sources, which is perfect for applications that query documents, databases, or other structured or unstructured data repositories. On the other hand, Fine-tuning lacks the guarantee of recall, making it less reliable.

Large Language Models 109

Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 109

AWS Machine Learning Blog

MAY 2, 2024

This post showcases a reward modeling technique to efficiently customize LLMs for an organization by programmatically defining rewards functions that capture preferences for model behavior. We demonstrate an approach to deliver LLM results tailored to an organization without intensive, continual human judgement.

LLM 110

LLM Auto-complete Auto-classification Artificial Intelligence 110

Marktechpost

NOVEMBER 25, 2024

For instance, in healthcare, a chatbot utilizing Corrective RAG can provide dosage recommendations for medications and cross-verify these suggestions with medical guidelines. For example, a telecom chatbot might initially misinterpret a user’s query but adapt over time by incorporating frequent corrections into its knowledge base.

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Categorization Chatbots Explainability Generative AI 127

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., Applications of LLMs The chart below summarises the present state of the Large Language Model (LLM) landscape in terms of features, products, and supporting software.

Large Language Models 104

Large Language Models BERT Natural Language Processing Categorization 104

AWS Machine Learning Blog

SEPTEMBER 13, 2024

This agent invokes a Lambda function that internally calls the Anthropic Claude Sonnet large language model (LLM) on Amazon Bedrock to perform preliminary analysis on the images. The LLM generates a summary of the damage, which is sent to an SQS queue, and is subsequently reviewed by the claim adjusters.

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Metadata Automation LLM NLP 129

Explosion

FEBRUARY 15, 2023

One of the team’s more unique use cases is its Helpful Banking Moments initiative, in which annotators categorize whether Posh’s chatbot has been helpful or not. Want to learn how to customize Prodigy for efficient chatbot annotations? In a recent short, Vincent D. But we’ve got a lot more planned in 2023.

Chatbots 59

Chatbots NLP Data Scientist OpenAI 59

AWS Machine Learning Blog

MARCH 28, 2024

To address these challenges, parent document retrievers categorize and designate incoming documents as parent documents. This technique provides targeted yet broad-ranging search capabilities, furnishing the LLM with a wider perspective. During retrieval, the parent document is invoked. Create a question embedding.

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LLM Auto-complete Auto-classification Generative AI 132

The MLOps Blog

MARCH 23, 2023

High computational requirements Deploying LLMs can be challenging as they require significant computational resources to perform inference. This is especially true when the model is used for real-time applications, such as chatbots or virtual assistants. Bandwidth requirements As discussed previously, LLM has to be scaled using MP.

NLP 115

NLP LLM Large Language Models Natural Language Processing 115

Towards AI

SEPTEMBER 26, 2023

The LLM race is also continuing to heat up, with Amazon announcing significant investment into Anthropic AI. It also looks set to beat Amazon’s Alexa to market with a LLM-powered text-to-speech chatbot. Meta also has plans to develop ‘dozens’ of chatbot personas, including ones for celebrities to interact with their fans.

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Prompt Engineering Prompt Engineer OpenAI ChatGPT 64

AWS Machine Learning Blog

MAY 7, 2024

Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

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Prompt Engineer Prompt Engineering Large Language Models LLM 118

Bitext

SEPTEMBER 27, 2023

In the dynamic world of AI and chatbot technology, the right dataset can make the difference between a run-of-the-mill virtual assistant and a truly engaging, conversational AI. Entries are detailed, providing user instructions, expected virtual assistant responses, and clear categorizations. chatbots that work.

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Large Language Models Conversational AI Chatbots LLM 52

AWS Machine Learning Blog

MAY 30, 2023

Common among them are chatbots, image generators, and video generators. Large language models (LLMs) are being used in chatbots for creative pursuits, academic and personal assistants, business intelligence tools, and productivity tools.

Generative AI 78

Generative AI Machine Learning Chatbots LLM 78

Topbots

JULY 6, 2023

To facilitate cross-modal alignment and bridge the modality gap between pre-trained vision models and pre-trained language models, the team proposes a lightweight Querying Transformer (Q-Former) that acts as an information bottleneck between the frozen image encoder and the frozen LLM. What are the results?

LLM 52

LLM Large Language Models Natural Language Processing NLP 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps. Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. The LLM will review all model-generated responses and score them.

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Generative AI Prompt Engineering Prompt Engineer ML 124

TheSequence

JUNE 12, 2023

While ChatGPT has gained significant popularity, with many individuals utilizing its API to develop their chatbots or explore LangChain , it's not without its challenges. Users may engage with a chatbot that employs complex jargon, only to later realize the bot generates nonsensical responses or fabricates non-existent 404 links.

ChatGPT 52

ChatGPT LLM Chatbots OpenAI 52

AWS Machine Learning Blog

JULY 23, 2024

Dealing with massive datasets is not just about identifying and categorizing PII. Prevent changes to an Amazon Lex chatbot using an SCP To prevent changes to an Amazon Lex chatbot using an SCP, create one that denies the specific actions related to modifying or deleting the chatbot. To create an SCP, see Creating an SCP.

Chatbots 110

Chatbots Large Language Models Categorization Software Development 110

Topbots

OCTOBER 4, 2023

Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., First, they can select a pretrained LLM that demonstrates acceptable performance for their use case. a social media post or product description).

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119