Generated with DALL-E 3 In the rapidly evolving landscape of Natural Language Processing, 2023 emerged as a pivotal year, witnessing groundbreaking research in the realm of Large Language Models (LLMs). These LLMs, characterized by their vast parameter sizes and impressive capabilities, played a central role in shaping the future of AI applications. This introduction … [Read more...] about The GenAI Frontier: 10 Transformative LLM Research Papers of 2023 from LLaMA to GPT-4
Conversational AI
Code Smarter, Not Harder: Streamline Software Development with Generative AI
AI has played a supporting role in software development for years, primarily automating tasks like analytics, error detection, and project cost and duration forecasting. However, the emergence of generative AI has reshaped the software development landscape, driving unprecedented productivity gains. A McKinsey study reveals that developers using generative AI tools can write … [Read more...] about Code Smarter, Not Harder: Streamline Software Development with Generative AI
AI In HR: A Guide For Business And HR Leaders
76% of HR leaders believe their organizations will fall behind if they don't adopt AI solutions in the next year or two. With the rapid pace of AI innovation, we can expect AI to have a major impact on the HR role across the entire employee lifecycle. First, AI will lead to new employee expectations about how they interact with HR and HR technologies, from recruiting and … [Read more...] about AI In HR: A Guide For Business And HR Leaders
The Future of Customer Support: How AI is Boosting Capacity, Performance, and Satisfaction
Customer support has become increasingly important, with 88% of buyers saying the experience a company provides matters as much as its products or services. About 72% of customers demand immediate service and nearly 70% expect anyone they interact with to have full context. However, this level of customer care is expensive, leading business leaders to look into AI for higher … [Read more...] about The Future of Customer Support: How AI is Boosting Capacity, Performance, and Satisfaction
Redefining Conversational AI with Large Language Models
Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption. In this article, we will use the mental model shown in Figure 1 to … [Read more...] about Redefining Conversational AI with Large Language Models
Generative vs Predictive AI: Key Differences & Real-World Applications
Generated with Bing and edited with Photoshop Predictive AI and generative AI are two powerful applications of artificial intelligence with a wide range of use cases in business and industry. Both types of AI use machine learning to learn from data, but they do so in different ways and have different capabilities. Business leaders must understand the strengths and … [Read more...] about Generative vs Predictive AI: Key Differences & Real-World Applications
LLM Safety Checklist: Avoiding Common Traps in Generative AI Applications
With the rush to adopt generative AI to stay competitive, many businesses are overlooking key risks associated with LLM-driven applications. We cover four major risk areas with large language models such as OpenAI’s GPT-4 or Meta’s Llama 2, which should be vetted carefully before they are deployed to production for real end-users: In the following sections, we will … [Read more...] about LLM Safety Checklist: Avoiding Common Traps in Generative AI Applications
Beyond Metrics: A Hybrid Approach to LLM Performance Evaluation
Large Language Models (LLMs) present a unique challenge when it comes to performance evaluation. Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. Also, while your base model may excel in broad metrics, general performance doesn’t guarantee optimal performance for your specific use cases. Therefore, a … [Read more...] about Beyond Metrics: A Hybrid Approach to LLM Performance Evaluation
10 Essential Prompt Engineering Methods For Successful ChatGPT & LLM Applications
Harnessing the full potential of AI requires mastering prompt engineering. This article provides essential strategies for writing effective prompts relevant to your specific users. The strategies presented in this article, are primarily relevant for developers building large language model (LLM) applications. Still, the majority of these tips are equally applicable to end … [Read more...] about 10 Essential Prompt Engineering Methods For Successful ChatGPT & LLM Applications
Mastering ChatGPT: Effective Summarization With LLMs
Summarization agents imagined by the AI image generation tool Dall-E. Are you part of the population that leaves reviews on Google maps every time you visit to a new restaurant? Or perhaps you are the type to share your opinion on Amazon purchases, especially when you get triggered by a low-quality product? Don’t worry, I won’t blame you — we all have our … [Read more...] about Mastering ChatGPT: Effective Summarization With LLMs