Author: Sajjad Ansari

Sajjad Ansari
107 POSTS0 COMMENTS
Sajjad Ansari is a final year undergraduate from IIT Kharagpur. As a Tech enthusiast, he delves into the practical applications of AI with a focus on understanding the impact of AI technologies and their real-world implications. He aims to articulate complex AI concepts in a clear and accessible manner.

CIPHER: An Effective Retrieval-based AI Algorithm that Infers User Preference by Querying the LLMs

AI Paper Summary
Language models built on Large Language models (LLMs) have been developed for multiple applications, followed by new advancements in enhancing LLMs. However, LLMs lack...

Nexa AI Introduces Octopus v4: A Novel Artificial Intelligence Approach that Employs Functional Tokens to Integrate Multiple Open-Source Models

AI Paper Summary
There has been rapid growth in the open-source landscape for Large Language Models (LLMs) after the release of the Llama3 model and its successor,...

Fine-tuning AdvPrompter: A Novel AI Method to Generate Human-Readable Adversarial Prompt

AI Paper Summary
Large Language Models (LLMs) have succeeded greatly and are widely used in various fields. LLMs are sensitive to input prompts, and this behavior has...

Understanding Neuro-Symbolic AI: Integrating Symbolic and Neural Approaches

AI Shorts
Neuro-Symbolic Artificial Intelligence (AI) represents an exciting frontier in the field. It merges the robustness of symbolic reasoning with the adaptive learning capabilities of...

Edge AI and It’s Advantages over Traditional AI

AI Shorts
Edge artificial intelligence (Edge AI) involves implementing AI algorithms and models on local devices like sensors or IoT devices at the network's periphery. This...

Gradformer: A Machine Learning Method that Integrates Graph Transformers (GTs) with the Intrinsic Inductive Bias by Applying an Exponential Decay Mask to the Attention...

AI Shorts
Graph Transformers (GTs) have successfully achieved state-of-the-art performance on various platforms. GTs can capture long-range information from nodes that are at large distances, unlike...

Physics-Based Deep Learning: Insights into Physics-Informed Neural Networks (PINNs)

AI Paper Summary
Physics-Informed Neural Networks (PINNs) have become a cornerstone in integrating deep learning with physical laws to solve complex differential equations, marking a significant advance...

TD3-BST: A Machine Learning Algorithm to Adjust the Strength of Regularization Dynamically Using Uncertainty Model

AI Paper Summary
Reinforcement learning (RL) is a type of learning approach where an agent interacts with an environment to collect experiences and aims to maximize the...

The Representative Capacity of Transformer Language Models LMs with n-gram Language Models LMs: Capturing the Parallelizable Nature of n-gram LMs

AI Paper Summary
Neural language models (LMs) have become popular due to their extensive theoretical work mostly focusing on representational capacity. An earlier study of representational capacity...

Neuromorphic Computing: Algorithms, Use Cases and Applications

AI Shorts
Neuromorphic computing represents a transformative approach to artificial intelligence, seeking to emulate the human brain's neural structures and processing methods. This computing paradigm offers...

Single Agent Architectures (SSAs) and Multi-Agent Architectures (MAAs): Achieving Complex Goals, Including Enhanced Reasoning, Planning, and Tool Execution Capabilities

AI Paper Summary
After the introduction of ChatGPT, many generative AI applications have adopted the Retrieval Augmented Generation (RAG) pattern, focusing on the variation of a chat...

Formal Interaction Model (FIM): A Mathematics-based Machine Learning Model that Formalizes How AI and Users Shape One Another

AI Paper Summary
Machine learning has become an important domain that has contributed to developing platforms and products that are data-driven, adaptive, and intelligent. The AI systems...
1...11121314Page 12 of 14
Discord Linkedin Reddit Twitter
© Copyright Reserved @2024 Marktechpost Media Inc.