Generative AI makes new content. Discriminative AI filters choices. Chain-of-thought shows reasoning; instructional prompting tells model how to reason. LINK SCREENSHOTGPT 333Tags: 111222 […]
Category: term
Blind or Brute Force Scaling vs. the Right Algorithm in AI
In AI, **blind scaling**—adding more data or compute—doesn’t guarantee better **reasoning**. What matters more is using the **right algorithm**, which aligns model capacity with task needs, enabling true **generalization** and **abstraction**. LINK SCREENSHOTGPT 333444 […]
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Prompt injection, jailbreaking, and guardrails
Prompt injection and jailbreaking both aim to bypass AI safety, but differ in method. They target not just the system prompt, but multiple guardrail layers, including training, filters, and context. LINK SCREENSHOTGPT 333444 […]
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Base system prompt
A system prompt is a hidden instruction created and set by the AI developer (e.g., OpenAI) to define the model’s identity, tone, and behavior. LINK SCREENSHOTGPT 333444 […]
Lovable – The fastest way to build advanced AI Agents
Lovable is a no-code platform that enables teams to quickly build AI agents capable of handling customer support and other tasks through natural conversations. It offers a drag-and-drop interface, seamless integrations, and scalability across use cases, designed to help product and support teams iterate and launch fast. LINK SCREENSHOT […]
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BERT
BERT (Bidirectional Encoder Representations from Transformers) is not a general LLM but a custom-trained model optimized for NLP tasks. Pre-trained on large text corpora, it excels at understanding context and relationships between words in a sentence. LINK SCREENSHOT […]
System card
A system card is documentation detailing an AI model’s design, limitations, ethical considerations, and intended use cases. It enhances transparency and safety by outlining risks, mitigation strategies, and technical specifications, guiding responsible deployment. LINK SCREENSHOT […]
Zero-ShotPrompting
Zero-shot prompting refers to an AI’s ability to perform a task or answer a query without prior training or specific examples for that task. The model relies on general knowledge acquired during pretraining to generate accurate responses in unfamiliar contexts. LINK SCREENSHOT […]
Agentic AI Systems
Agentic AI systems are autonomous agents capable of making decisions and taking actions independently, often in dynamic environments. These systems prioritize goal-directed behaviors, adapting to new data without direct human intervention. LINK SCREENSHOT […]
Automated AI post-training: PEFT-LoRA
Peft-lora (Parameter-Efficient Fine-Tuning with Low-Rank Adaptation) is a partial fine-tuning method where low-rank matrices are added to select layers of a model. This reduces the need to fine-tune the entire model optimizing efficiency while maintaining performance. LINK SCREENSHOT […]