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Chatbots Generative AI LLM 
Analytics Vidhya
APRIL 30, 2024
Introduction This article aims to create an AI-powered RAG and Streamlit chatbot that can answer users questions based on custom documents. Users can upload documents, and the chatbot can answer questions by referring to those documents.
314 
AI News
JULY 30, 2024
In a move that underscores the growing influence of AI in the financial industry, JPMorgan Chase has unveiled a cutting-edge generative AI product. This new tool, LLM Suite, is being hailed as a game-changer and is capable of performing tasks traditionally assigned to research analysts.
326
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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
Analytics Vidhya
NOVEMBER 4, 2023
Introduction Generative AI is currently being used widely all over the world. The ability of the Large Language Models to understand the text provided and generate a text based on that has led to numerous applications from Chatbots to Text analyzers.
325 
Unite.AI
SEPTEMBER 7, 2023
We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. In my previous article , we saw a ladder of intelligence of patterns for building LLM powered applications. Let's look in detail. Sounds exciting!?
277 
Analytics Vidhya
DECEMBER 12, 2024
In the last 2 years, we have seen ChatGPT transform from a creative LLM-powered chatbot into a powerful generative AI-powered search tool for all our queries.
207 
Analytics Vidhya
APRIL 15, 2023
A fully autonomous AI agent called AgentGPT is gaining popularity in the field of generative AI models. Based on AutoGPT initiatives like ChaosGPT, this tool enables users to specify a name and an objective for the AI to accomplish by breaking it down into smaller tasks.
383 
Analytics Vidhya
JULY 19, 2024
Introduction In an era where artificial intelligence is reshaping industries, controlling the power of Large Language Models (LLMs) has become crucial for innovation and efficiency.
329 
Analytics Vidhya
JULY 20, 2023
Tech giant Apple is forging ahead with its highly anticipated AI-powered chatbot, tentatively named “AppleGPT.” ” This revolutionary project, which utilizes the “Ajax” large language model (LLM) framework powered by Google JAX, has remained a closely guarded secret within the company.
208 
Analytics Vidhya
OCTOBER 12, 2023
Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., LLMs use deep learning techniques to perform natural language processing tasks.
353 
AWS Machine Learning Blog
OCTOBER 14, 2024
With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. The final output generation step (LLM Gen on the graph in the screenshot) takes on average 4.9 seconds on average, respectively.
128 
Analytics Vidhya
SEPTEMBER 20, 2024
Large language model (LLM) agents are the latest innovation in this context, boosting customer query management efficiently. They automate repetitive tasks with the help of LLM-powered chatbots, unlike typical customer query management.
270 
AI News
SEPTEMBER 12, 2023
The latest release of MLPerf Inference introduces new LLM and recommendation benchmarks, marking a leap forward in the realm of AI testing. What sets this achievement apart is the diverse pool of 26 different submitters and over 2,000 power results, demonstrating the broad spectrum of industry players investing in AI innovation.
327 
Analytics Vidhya
JUNE 30, 2024
Introduction This article covers the creation of a multilingual chatbot for multilingual areas like India, utilizing large language models. The system improves consumer reach and personalization by using LLMs to translate questions between local languages and English. appeared first on Analytics Vidhya.
IBM Journey to AI blog
JUNE 19, 2024
Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays. Yet even with widespread adoption of these chatbots, enterprises are still occasionally experiencing some challenges.
282 
Analytics Vidhya
DECEMBER 15, 2023
Introduction Since the release of ChatGPT and the GPT models from OpenAI and their partnership with Microsoft, everyone has given up on Google, which brought the Transformer Model to the AI space.
374 
Analytics Vidhya
APRIL 30, 2024
Introduction Every week, new and more advanced Large Language Models (LLMs) are released, each claiming to be better than the last. The answer is the LMSYS Chatbot Arena. But how can we keep up with all these new developments?
319 
Towards AI
NOVEMBER 14, 2024
From Beginner to Advanced LLM Developer Why should you learn to become an LLM Developer? Large language models (LLMs) and generative AI are not a novelty — they are a true breakthrough that will grow to impact much of the economy. The core principles and tools of LLM Development can be learned quickly.
116 
IBM Journey to AI blog
SEPTEMBER 3, 2024
No technology in human history has seen as much interest in such a short time as generative AI (gen AI). Many leading tech companies are pouring billions of dollars into training large language models (LLMs). How might generative AI achieve this? But can this technology justify the investment?
308 
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
JULY 28, 2023
Introduction In the digital age, language-based applications play a vital role in our lives, powering various tools like chatbots and virtual assistants. 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.
260 
AWS Machine Learning Blog
MARCH 19, 2025
As we gather for NVIDIA GTC, organizations of all sizes are at a pivotal moment in their AI journey. The question is no longer whether to adopt generative AI, but how to move from promising pilots to production-ready systems that deliver real business value. The results speak for themselvestheir inference stack achieves up to 3.1
125 
Analytics Vidhya
SEPTEMBER 14, 2024
Introduction Large language model (LLM) agents are advanced AI systems that use LLMs as their central computational engine. They have the ability to perform specific actions, make decisions, and interact with external tools or systems autonomously.
291 
JANUARY 14, 2025
With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. This setup enables you to use data for generative purposes and remain compliant with security regulations.
152 
IBM Journey to AI blog
JANUARY 11, 2024
Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators. No AI bots were used to write this content.
307 
AWS Machine Learning Blog
FEBRUARY 5, 2025
In this blog post, we explore a real-world scenario where a fictional retail store, AnyCompany Pet Supplies, leverages LLMs to enhance their customer experience. We will provide a brief introduction to guardrails and the Nemo Guardrails framework for managing LLM interactions. This focuses the chatbots attention on pet-related queries.
111 
Unite.AI
SEPTEMBER 13, 2023
The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways. What’s Next for Generative AI in Regulated Industries?
278 
AWS Machine Learning Blog
NOVEMBER 18, 2024
In this post, we explain how InsuranceDekho harnessed the power of generative AI using Amazon Bedrock and Anthropic’s Claude to provide responses to customer queries on policy coverages, exclusions, and more. The use of this solution has improved sales, cross-selling, and overall customer service experience.
111 
AssemblyAI
MAY 17, 2023
Generative AI has made great strides in the language domain. OpenAI’s ChatGPT can have context-relevant conversations, even helping with things like debugging code (or generating code from scratch). Many of the advancements in Generative AI on the language front rely on Large Language Models.
AI News
APRIL 17, 2024
Ikigai is helping organisations transform sparse, siloed enterprise data into predictive and actionable insights with a generative AI platform specifically designed for structured, tabular data. How would you describe the current generative AI landscape, and how do you envision it developing in the future?
317 
IBM Journey to AI blog
OCTOBER 10, 2023
Generative AI has taken the business world by storm. Organizations around the world are trying to understand the best way to harness these exciting new developments in AI while balancing the inherent risks of using these models in an enterprise context at scale.
248 
IBM Journey to AI blog
AUGUST 31, 2023
Watsonx Assistant now offers conversational search, generating conversational answers grounded in enterprise-specific content to respond to customer and employee questions. As a result, the LLM is less likely to ‘hallucinate’ incorrect or misleading information.
256 
Unite.AI
DECEMBER 13, 2024
Early AI systems were static, offering limited functionality. Simple rule-based chatbots, for example, could only provide predefined answers and could not learn or adapt. Technologies such as Recurrent Neural Networks (RNNs) and transformers introduced the ability to process sequences of data and paved the way for more adaptive AI.
246 
NVIDIA
DECEMBER 24, 2024
For workstations, NVIDIA RTX GPUs deliver over 1,400 TOPS, enabling next-level AI acceleration and efficiency. Unlocking Productivity and Creativity With AI-Powered Chatbots AI Decoded earlier this year explored what LLMs are , why they matter and how to use them.
133 
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. Known as prompt injections or “jailbreaks,” these exploits expose vulnerabilities in AI systems and raise concerns about their security.
173 
AI News
MAY 1, 2024
A coalition of major news publishers has filed a lawsuit against Microsoft and OpenAI, accusing the tech giants of unlawfully using copyrighted articles to train their generative AI models without permission or payment. This lawsuit is not a battle between new technology and old technology.
325 
FEBRUARY 10, 2025
Traditional chatbots are limited to preprogrammed responses to expected customer queries, but AI agents can engage with customers using natural language, offer personalized assistance, and resolve queries more efficiently. DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek.
161 
Analytics Vidhya
JULY 21, 2023
Swiggy, the renowned food delivery platform, embraces the potential of generative AI to transform how we discover food and groceries. Following the footsteps of major industry players such as Zomato, Blinkit, and Instacart, Swiggy aims to bring the latest AI technologies to its platform.
271 
AI News
AUGUST 2, 2024
Pro model has surpassed OpenAI’s GPT-4o in generative AI benchmarks. One of the most widely recognised benchmarks in the AI community is the LMSYS Chatbot Arena, which evaluates models on various tasks and assigns an overall competency score. Exciting News from Chatbot Arena! Google’s experimental Gemini 1.5
347 
Unite.AI
MARCH 9, 2025
The introduction of generative AI and the emergence of Retrieval-Augmented Generation (RAG) have transformed traditional information retrieval, enabling AI to extract relevant data from vast sources and generate structured, coherent responses.
205 
JANUARY 23, 2025
These AI technologies have significantly reduced agent handle times, increased Net Promoter Scores (NPS), and streamlined self-service tasks, such as appointment scheduling. The advent of generative AI further expands the potential to enhance omnichannel customer experiences.
149 
AssemblyAI
JUNE 27, 2023
With some first steps in this direction in the past weeks – Google’s AI test kitchen and Meta open-sourcing its music generator – some experts are now expecting a “GPT moment” for AI-powered music generation this year. This blog post is part of a series on generative AI.
298 
AWS Machine Learning Blog
AUGUST 15, 2024
In turn, customers can ask a variety of questions and receive accurate answers powered by generative AI. In this post, we discuss how to use QnABot on AWS to deploy a fully functional chatbot integrated with other AWS services, and delight your customers with human agent like conversational experiences.
129 
AWS Machine Learning Blog
FEBRUARY 14, 2024
With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.
141 
AWS Machine Learning Blog
MARCH 5, 2025
Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.
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