Unite.AI

DECEMBER 30, 2024

Supplementary measures, such as additional moderation tools or using LLMs less prone to harmful content and jailbreaks, are essential for ensuring robust AI security. Can you explain the significance of jailbreaks and prompt manipulation in AI systems, and why they pose such a unique challenge?

Machine Learning 167

Machine Learning Chatbots LLM AI Modeling 167

IBM Journey to AI blog

SEPTEMBER 3, 2024

“AI whisperers” are probing the boundaries of AI ethics by convincing well-behaved chatbots to break their own rules. “Skeleton Key is unique in that it requires multiple interactions with the AI,” explains Chenta Lee, IBM’s Chief Architect of Threat Intelligence.

AI Chatbots 173

AI Chatbots Chatbots Large Language Models AI 173

Marktechpost

FEBRUARY 1, 2025

LLM-Based Reasoning (GPT-4 Chain-of-Thought) A recent development in AI reasoning leverages LLMs. Natural Language Interaction: Agents can communicate their reasoning processes using natural language, providing more explainability and intuitive interfaces for human oversight.

LLM 101

LLM Robotics Neural Network Large Language Models 101

Flipboard

DECEMBER 26, 2024

The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and shifting from coding copilots to fully autonomous coderssomething thats still a work in progress. Perplexity.ai

Software Engineer 177

Software Engineer BERT Artificial Intelligence Artificial Intelligence 177

Towards AI

MARCH 5, 2025

address this challenge, Im excited to share with you a Resume Chatbot. This solution allows you to create an interactive, AI-powered chatbot that showcases your skills, experience, and knowledge in a dynamic and engaging way. Why Use a Resume Chatbot? the GitHub repository, you will find the code and a step-by-step guide.

Chatbots 64

Chatbots LLM Metadata Large Language Models 64

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.

Explainability 278

Explainability Large Language Models AI AI 278

IBM Journey to AI blog

SEPTEMBER 27, 2023

In this video, Martin Keen briefly explains large language models, how they relate to foundation models, how they work and how they can be used to address various business problems. Proprietary LLMs are owned by a company and can only be used by customers that purchase a license. The license may restrict how the LLM can be used.

Large Language Models 289

Large Language Models LLM Explainability Chatbots 289

Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. Lets dive in.

LLM 52

LLM Data Scientist Prompt Engineering Prompt Engineer 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

Within this landscape, we developed an intelligent chatbot, AIDA (Applus Idiada Digital Assistant) an Amazon Bedrock powered virtual assistant serving as a versatile companion to IDIADAs workforce. This LLM model has a context window of 200,000 tokens, enabling it to manage different languages and retrieve highly accurate answers.

Chatbots 69

Chatbots Categorization LLM Algorithm 69

Unite.AI

JANUARY 30, 2025

Can you explain the core concept and what motivated you to tackle this specific challenge in AI and data analytics? This platform unifies the experience of both LLM-based generative AI and business applications for technical and non-technical users around shared context. illumex focuses on Generative Semantic Fabric.

Automation 144

Automation Metadata Explainability Data Scientist 144

O'Reilly Media

JANUARY 21, 2025

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. Incremental gains are harder to achieve, and organizations betting on ever-more-powerful LLMs are beginning to see diminishing returns. LLM deployments in the enterprise.

Conversational AI 117

Conversational AI LLM Automation Software Engineer 117

Unite.AI

AUGUST 20, 2024

These techniques work well, but LLM-based recommender systems are shining because of traditional systems' limitations. Interpretability Challenges: Difficulty in explaining why specific recommendations are made, especially in complex hybrid models. Collaborative filtering suggests items based on similar user preferences.

LLM 205

LLM Chatbots Explainability Algorithm 205

AWS Machine Learning Blog

OCTOBER 17, 2023

One challenge that agents face is finding the precise information when answering customers’ questions, because the diversity, volume, and complexity of healthcare’s processes (such as explaining prior authorizations) can be daunting. Then we explain how the solution uses the Retrieval Augmented Generation (RAG) pattern for its implementation.

LLM 121

LLM Chatbots Explainability Generative AI 121

Unite.AI

JULY 19, 2024

To deal with this issue, various tools have been developed to detect and correct LLM inaccuracies. Pythia Image source Pythia uses a powerful knowledge graph and a network of interconnected information to verify the factual accuracy and coherence of LLM outputs. Cost-effective. Customizable dashboard widgets and alerts.

LLM 274

LLM AI AI Data Quality 274

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

AWS Machine Learning Blog

NOVEMBER 15, 2024

A chatbot enables field engineers to quickly access relevant information, troubleshoot issues more effectively, and share knowledge across the organization. the router would direct the query to a text-based RAG that retrieves relevant documents and uses an LLM to generate an answer based on textual information.

LLM 111

LLM Data Analysis Python Generative AI 111

Unite.AI

DECEMBER 13, 2023

Prompt tuning involves crafting and inputting a carefully designed text “prompt” into a Large Language Model (LLM). Inputting the Prompt: The prompt is fed into the LLM. Example 3: Educational Material Original Prompt: “Explain photosynthesis.”

Chatbots 250

Chatbots LLM Explainability Large Language Models 250

Unite.AI

MARCH 11, 2024

Unlike older AI systems that use just one AI model like the Transformer based LLM, CAS emphasizes integration of multiple tools. For instance, a chatbot using retrieval-augmented generation (RAG) can handle missing information gracefully. Robustness and Resilience: Diverse components provide redundancy and robustness.

AI Modeling 298

AI Modeling Neural Network Large Language Models AI 298

Marktechpost

MARCH 23, 2025

Traditional approaches to developing conversational LLM applications often fail in real-world use cases. Flowchart-based processing , which sacrifices the real magic of LLM-powered interactions: dynamic, free-flowing, human-like interactions. However, their reliability as autonomous customer-facing agents remains a challenge.

Prompt Engineering 86

Prompt Engineering Prompt Engineer LLM Explainability 86

AWS Machine Learning Blog

JULY 31, 2024

As part of this commitment, AWS Japan announced the AWS LLM Development Support Program (LLM Program), through which we’ve had the privilege of working alongside some of Japan’s most innovative teams. Let’s dive in and explore how these organizations are transforming what’s possible with generative AI on AWS.

LLM 118

LLM Large Language Models Generative AI Explainability 118

Towards AI

MARCH 13, 2025

We also dive into the challenge of imbalanced data in anomaly detection, introducing a method that leverages LLM embeddings to identify subtle irregularities especially useful when traditional techniques like oversampling or undersampling fall short. It details […]

Large Language Models 82

Large Language Models Robotics LLM Data Science 82

Towards AI

AUGUST 29, 2024

I explore the differences between RAG and sending all data in the input and explain why we believe RAG will remain relevant for the foreseeable future. It offers an easy-to-use platform that shows chatbot performance using clear metrics and graphs. Querying SQL Database Using LLM Agents — Is It a Good Idea? So, is RAG dead?

LLM 105

LLM ML Machine Learning NLP 105

Chatbots Life

AUGUST 23, 2024

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. The use cases of LLM for chatbots and LLM for conversational AI can be seen across all industries like FinTech, eCommerce, healthcare, cybersecurity, and the list goes on.

Conversational AI 72

Conversational AI Chatbots Large Language Models LLM 72

AWS Machine Learning Blog

MARCH 6, 2025

LlamaIndex is a framework for building LLM applications. Optimized for search and retrieval, it streamlines querying LLMs and retrieving documents. It provides tools for chaining LLM operations, managing context, and integrating external data sources. It uses an LLM to compute metrics.

LLM 100

LLM Generative AI ML Prompt Engineering 100

Towards AI

FEBRUARY 27, 2025

But for now, Ill be sharing how to stay updated with LLM industry developments where to find the most meaningful resources and how to curate them to stay informed at a level thats both useful and manageable. What if you learned how to teach yourself using the most powerful AI tools instead of relying on courses forever?

Chatbots 77

Chatbots AI AI Explainability 77

AWS Machine Learning Blog

FEBRUARY 19, 2024

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers.

Chatbots 112

Chatbots Data Ingestion Machine Learning Generative AI 112

Towards AI

FEBRUARY 6, 2025

While it is early, this class of reasoning-powered agents is likely to progress LLM adoption and economic impact to the next level. It details the underlying Transformer architecture, including self-attention mechanisms, positional embeddings, and feed-forward networks, explaining how these components contribute to Llamas capabilities.

Deep Learning 72

Deep Learning Computer Vision Large Language Models Explainability 72

NVIDIA

FEBRUARY 12, 2025

An LLM, for example, could be post-trained to tackle a task like sentiment analysis or translation or understand the jargon of a specific domain, like healthcare or law. Answering complex questions an essential capability for agentic AI workloads requires the LLM to reason through the question before coming up with an answer.

LLM 93

LLM AI AI AI Modeling 93

Allen AI

JUNE 19, 2023

How to be mindful of current risks when using chatbots and writing assistants By Maria Antoniak , Li Lucy , Maarten Sap , and Luca Soldaini Have you used ChatGPT, Bard, or other large language models (LLMs)? Have you interacted with a chatbot or used an automatic writing assistant? However, they can also just make stuff up.

Large Language Models 143

Large Language Models LLM Chatbots ChatGPT 143

Snorkel AI

JANUARY 8, 2025

In this post, well explore four key integration points between Snorkel Flow and Databricks, using a chatbot intent classification use case as an example: Ingesting raw data from Databricks into Snorkel Flow. However, fine-tuned LLMs trained on your proprietary data often outperform generic models.

AI Development 52

AI Development AI Developer Data Ingestion LLM 52

O'Reilly Media

NOVEMBER 19, 2024

Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. When a question gets asked, run its text through this same embedding model, determine which chunks are nearest neighbors , then present these chunks as a ranked list to the LLM to generate a response.

LLM 125

LLM NLP Hybrid AI Large Language Models 125

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 need to train the LLM but one only has to think about Prompt design.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

Towards AI

DECEMBER 16, 2024

Image by the author One of the major challenges in using LLMs in business is that LLMs hallucinate. How can you entrust your clients to a chatbot that can go mad and tell them something inappropriate at any moment? Thats a problem, especially given that an LLM cant be fired or held accountable.

LLM 105

LLM Metadata Explainability Chatbots 105

Unite.AI

JULY 26, 2023

Enterprise developers, for instance, often utilize prompt engineering to tailor Large Language Models (LLMs) like GPT-3 to power a customer-facing chatbot or handle tasks like creating industry-specific contracts. It's a blend of: Understanding of the LLM: Different language models may respond variably to the same prompt.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Large Language Models 246

AssemblyAI

AUGUST 31, 2023

For this, we create a small demo application that lets you load audio data and apply an LLM that can answer questions about your spoken data. If you need to build production-ready LLM apps on spoken data fast, you can also use AssemblyAI's own framework called LeMUR (Leveraging Large Language Models to Understand Recognized Speech).

Python 217

Python Metadata Large Language Models LLM 217

Unite.AI

MAY 8, 2024

Perplexity AI is an AI-chatbot-powered research and conversational search engine that answers queries using natural language predictive text. One of the final projects I worked on there was building chatbots for service support. RAG is a general concept for providing external knowledge to an LLM.

Machine Learning 292

Machine Learning Software Engineer Large Language Models Data Analysis 292

IBM Journey to AI blog

OCTOBER 16, 2023

The development and use of these models explain the enormous amount of recent AI breakthroughs. It’s essential for an enterprise to work with responsible, transparent and explainable AI, which can be challenging to come by in these early days of the technology. ” Are foundation models trustworthy?

Metadata 220

Metadata Explainability Automation Explainable AI 220