Can Small Language Models Give High Performance? Meet StableLM: An Open Source Language Model That Can Generate Text And Code Providing High Performance With Proper Training

Stability AI is a startup in the field of artificial intelligence best known for its Stable Diffusion image-generating AI technology. Today it has introduced a new free and open-source language model called StableLM. The model is offered in three different parameter sizes for the Alpha phase: three billion, seven billion, fifteen billion, and sixty-five billion….

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Eleuther AI Research Group Demonstrate How Classifier-free Guidance (CFG) Can Be Used With LLMs

Recently, huge language models have shown impressive generative skills, allowing them to handle a wide variety of problems. Typically, “prompting” is used to condition generation, either with task instructions and context or with a small number of samples. However, problems, including hallucination, deterioration, and wandering, have been observed in language generation, especially with smaller models….

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Microsoft Researchers Propose a Novel Framework for LLM Calibration Using Pareto Optimal Self-Supervision without Using Labeled Training Data

Recent developments have seen a remarkable increase in the capability of large language models (LLMs), with generative pretrained transformer (GPT) models showing significant promise. The transition from GPT-3 to GPT-4, as well as the appearance of other LLMs like PaLM and LLaMA, demonstrated a considerable improvement in problem-solving and natural language understanding skills. Additionally, generative…

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70% of Developers Embrace AI Today: Delving into the Rise of Large Language Models, LangChain, and Vector Databases in Current Tech Landscape

Artificial Intelligence has limitless possibilities, which is truly evident from the new releases and developments it introduces everyone to. With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. From deep…

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Paper Summary: A Hybrid Approach With GAN and DP for Privacy Preservation of IIoT Data

Anonymization is a significant problem when handling Industrial Internet of Things (IIoT) data. Machine Learning (ML) applications require decrypted data to perform tasks efficiently, which means that third parties involved in data processing may have access to sensitive information. This poses a risk of privacy leaks and information leakage for the companies generating the data….

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AI vs. Predictive Analytics: A Comprehensive Analysis

Artificial Intelligence (AI) and Predictive Analytics are reshaping the way all businesses operate. In this article, we will key in on engineering applications of AI and Predictive Analytics. We will start with the general concept of Artificial Intelligence (AI). We’ll go into the details of Predictive Engineering Analytics applied to engineering. We will give details…

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