Tag: Large Language Models (LLMs)
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Conjecture:
Autonomous Agents in the Future In the heart of Silicon Valley, amidst the towering tech giants and the relentless pursuit of innovation, a company named Automata was quietly making waves in the realm of artificial intelligence. Founded by a visionary entrepreneur named Dr. Evelyn Walsh, Automata’s mission was to create autonomous agents that could…
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Knowledge Graph
Knowledge Graphs A knowledge graph is a type of semantic network that represents knowledge using nodes and edges. Nodes represent entities, such as people, places, things, and events. Edges represent relationships between entities, such as “is a”, “has a”, and “is located in”. Knowledge graphs can be used to represent a wide variety of information,…
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Inference
Inference In the realm of artificial intelligence, inference stands as a critical capability that empowers machines to reason and draw conclusions from data. It’s the process of applying a trained machine learning model to new, unseen data to make predictions or classifications. 10 Keywords: How Inference Works Inference typically follows a well-defined process: Benefits of…
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Chain-of-thought prompting
Chain-of-thought prompting is a technique used to improve the reasoning abilities of large language models (LLMs). It works by providing a series of intermediate reasoning steps, leading the model to the final answer. This “chain of thought” helps the model break down complex problems and generate more accurate and comprehensive responses. How it works: Traditional…
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Instruction-Tuned LLMs:
Instruction-Tuned LLMs: Enhancing Performance and Control Keywords: Instruction tuning, Large Language Models (LLMs), Fine-tuning, Reinforcement learning, Alignment, Prompt engineering, Supervised learning, Human feedback, Generalization, Task performance Large Language Models (LLMs) have demonstrated impressive capabilities in generating human-quality text, translating languages, and answering questions. However, their performance can be further enhanced and controlled through instruction tuning,…
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Prompt Engineering Gemini
Google Gemini is an advanced AI model designed for complex tasks, pushing the boundaries of what’s possible with large language models (LLMs). Effectively interacting with Gemini requires a nuanced understanding of prompt engineering, the art of crafting effective inputs to elicit desired outputs. Keywords: Google Gemini, prompt engineering, large language models (LLMs), multimodal, context window,…
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Generative AI
Generative AI is a rapidly evolving field of artificial intelligence focused on creating new content and data. It employs algorithms and models to generate text, images, music, code, and other forms of media. This technology has far-reaching implications for various industries and aspects of our lives. Key Concepts and Terms: Keywords: Generative AI, Generative Models,…