Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. This year, the award committees recognized excellence in the field by granting two Outstanding Papers Awards and two Runner-up Awards. These awards highlight the latest … [Read more...] about Award-Winning Breakthroughs at NeurIPS 2023: A Focus on Language Model Innovations
NeurIPS 2023: Key Takeaways From Invited Talks
Generated with Midjourney The NeurIPS 2023 conference, held in the vibrant city of New Orleans from December 10th to 16th, had a particular emphasis on generative AI and large language models (LLMs). In light of the recent groundbreaking advancements in this domain, it was no surprise that these topics dominated the discussions. One of the core themes of this year's … [Read more...] about NeurIPS 2023: Key Takeaways From Invited Talks
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
Beyond Conventional Tactics: How AI is Redefining Marketing and Sales
Both marketing and sales are directly responsible for generating revenue. This unique position gives the two functions significantly more power to direct investment into new projects. The need to keep up with competitors in fighting for market share means that both units are, on average, much more willing to try new tools as well, including the latest technology advances based … [Read more...] about Beyond Conventional Tactics: How AI is Redefining Marketing and Sales
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