{"id":240085,"date":"2026-07-03T17:20:00","date_gmt":"2026-07-03T21:20:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/07\/03\/the-only-ai-glossary-youll-need-this-year\/"},"modified":"2026-07-03T17:25:12","modified_gmt":"2026-07-03T21:25:12","slug":"the-only-ai-glossary-youll-need-this-year","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/07\/03\/the-only-ai-glossary-youll-need-this-year\/","title":{"rendered":"The only AI glossary you’ll need this year"},"content":{"rendered":"

The only AI glossary you’ll need this year<\/a><\/p>\n

https:\/\/techcrunch.com\/2026\/07\/03\/artificial-intelligence-definition-glossary-hallucinations-guide-to-common-ai-terms\/<\/a><\/p>\n

Publish Date: 2026-07-03 17:20:00<\/a><\/p>\n

Source Domain: techcrunch.com<\/a><\/p>\n

Here’s a summary of the key points from the article on AI terminology, presented as an unordered list:<\/p>\n

– The emergence of new language and terms associated with developments in artificial intelligence (AI).
\n– Efforts to create a glossary in plain language to help users understand the jargon used in AI industry, whether in building, investing, or just following the trends.
\n– Concept of Large Language Models (LLMs) and their use in popular AI assistants, their structure, and how they are trained.
\n– The importance of compute\u2014the computational power\u2014as the backbone of the AI industry.
\n– Overview of Deep Learning, explaining its neural network architecture inspired by the human brain’s pathways, and its complexities and resource requirements.
\n– Clarification of Diffusion technology used in generating data like art, music, and text.
\n– Explanation of Distillation, a technique to create smaller, efficient AI models from larger ones.
\n– Fine-tuning described as improving AI models on specific tasks through targeted data inputs.
\n– Generative Adversarial Networks (GANs) and their role in creating realistic generative AI outputs.
\n– Hallucination in AI refers to the inaccurate generation of information by AI models.
\n– The process of Inference, where AI models produce predictions or conclusions from the data they’ve been trained on.
\n– The role of Memory Cache in optimizing AI operations and speeding up response times.
\n– The Model Context Protocol (MCP) as a standard for connectivity between AI models and external data sources and tools.
\n– Mixture of Experts as a model structure that uses specialized sub-networks for efficiency.
\n– The significance of Neural Networks, the algorithmic backbone of deep learning and AI advancements.
\n– The debate over open source versus closed source in AI, highlighting the collaborative aspect of open sourcing.
\n– Parallelization in AI as an essential strategy for managing large-scale computations and its growing importance.
\n– The term RAMageddon highlighting the supply issue of random access memory impacting various tech industries.
\n– Recursive Self-Improvement (RSI) in AI, which involves models improving themselves without human interference.
\n– Reinforcement Learning as a method for training AI based on success feedback, especially useful for game playing and robotics.
\n– Tokens as the basic data units in AI that represent chunks of processed text, crucial for human-AI interaction.
\n– The process of Transfer Learning where knowledge from one task is applied to another, offering cost-effective model development.
\n– Validation Loss as an indicator of an AI model’s learning progress during training.
\n– Weights in AI models determine the importance given to various data features during the training process.
<\/p>\n","protected":false},"excerpt":{"rendered":"

The only AI glossary you’ll need this year https:\/\/techcrunch.com\/2026\/07\/03\/artificial-intelligence-definition-glossary-hallucinations-guide-to-common-ai-terms\/ Publish Date: 2026-07-03 17:20:00 Source Domain:…<\/p>\n","protected":false},"author":1,"featured_media":240086,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/techcrunch.com\/wp-content\/uploads\/2025\/03\/GettyImages-ai-generated-eb728837-4a65-4ce4-b814-abd0c140d20c.jpg?w=1024","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[20,19],"class_list":["post-240085","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-artificial-intelligence","tag-generative-ai"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/240085"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=240085"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/240085\/revisions"}],"predecessor-version":[{"id":240087,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/240085\/revisions\/240087"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/240086"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=240085"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=240085"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=240085"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}