Artificial intelligence (AI) is becoming more sophisticated, requiring models capable of processing large-scale data and providing precise, valuable insights. The aim of researchers in this field is to develop systems that are capable of continuous learning and adaptation, ensuring relevance in dynamic environments.
One of the main challenges in developing AI models is the issue of…
The shift towards renewable energy sources and increased consumer demand due to electric vehicles and heat pumps has significantly influenced the electricity generation landscape. This shift has also resulted in a grid that is subject to fluctuating inputs, thus necessitating an adaptive power infrastructure. Research suggests that bus switching at the substation can help stabilize…
Natural Language Processing (NLP) involves computers understanding and interacting with human language through language models (LMs). These models generate responses across various tasks, making the quality assessment of responses challenging. However, as proprietary models like GPT-4 increase in sophistication, they often lack transparency, control, and affordability, thus prompting the need for reliable open-source alternatives.
Existing…
Researchers have introduced an innovative algorithm known as CIPHER that optimizes large language models (LLMs) by interpreting user feedback edits. LLMs are becoming increasingly popular for a range of applications, with developers constantly enhancing the capabilities of these models. However, one of the key challenges is the alignment and personalization of these models to specific…
Multitask learning (MLT) is a method used to train a single model to perform various tasks simultaneously by utilizing shared information to boost performance. Despite its benefits, MLT poses certain challenges, such as managing large models and optimizing across tasks.
Current solutions to under-optimization problems in MLT involve gradient manipulation techniques, which can become computationally…
First year students, Eric Liu and Ashely Peake, from the Social and Engineering Systems (SES) doctoral program at MIT Institute for Data, Systems, and Society (IDSS), are researching housing inequality issues. They used a policy hackathon organized by IDSS as an opportunity for hands-on research. The annual event gathers participants from around the world to…
Employee Advocacy is the new direction for B2B and SaaS marketing, promoting organic reach, engagement, and growth using social media strategies. However, the previous version of employee advocacy has been found to be ineffective. Instead, the solution is Employee Advocacy 2.0 - Team Growth Storytelling.
The article challenges the idea that customers only want to hear…
StoryLab.ai, a startup focused on marketing and AI copy generation, launched in August 2021 with the aim of helping users write more effectively and efficiently. They propose a new vision for content marketing they call "Growth Storytelling".
The term content marketing was first introduced in 1996 and has become a significant part of marketing in the…
Building a ChatGPT (Generative Pretrained Transformer) using OpenAI's GPT Builder lets you create specialized, detailed responses for your use case, improving the quality of the ChatGPT's output. By utilizing custom prompts and feeding the GPT Builder with user language data, you can create a more personalized and effective AI tool.
When building a custom ChatGPT,…
Artificial Intelligence (AI) continues to create transformative opportunities in healthcare. However, these innovations also prompt significant questions about regulation, governance, and trust. In the segment of Lessons From the Inside, Sunil Dadlani, a leading figure at Atlantic Health System, shares his insights into these crucial discussions. As both Chief Information and Digital Transformation Officer and…
Noyb, a European digital rights organization, has filed a lawsuit against artificial intelligence company OpenAI, alleging that its language model, ChatGPT, has a consistent issue of producing inaccurate personal information about individuals. The AI model's inclination to 'make up' information when it lacks a concrete answer to a question has resulted in false details about…
