CSS3 and SVG with Perplexity:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA
Mercury Learning and Information
[2024]
|
| Series: | Computing and information technology series
MLI generative AI series |
| Subjects: | |
| Links: | https://doi.org/10.1515/9781501520914?locatt=mode:legacy https://doi.org/10.1515/9781501520914?locatt=mode:legacy https://doi.org/10.1515/9781501520914?locatt=mode:legacy https://doi.org/10.1515/9781501520914?locatt=mode:legacy https://doi.org/10.1515/9781501520914 https://doi.org/10.1515/9781501520914?locatt=mode:legacy https://doi.org/10.1515/9781501520914?locatt=mode:legacy https://doi.org/10.1515/9781501520914 https://doi.org/10.1515/9781501520914 https://doi.org/10.1515/9781501520914 https://doi.org/10.1515/9781501520914?locatt=mode:legacy https://doi.org/10.1515/9781501520914 |
| Abstract: | Cover -- Title -- Copyright -- Dedication -- Contents -- Preface -- Chapter 1 The Generative AI Landscape -- What is Generative AI? -- Important Features of Generative AI -- Popular Techniques in Generative AI -- What Makes Generative AI Different -- The Successes of Generative AI -- Conversational AI Versus Generative AI -- Primary Objective -- Applications -- Technologies Used -- Training and Interaction -- Evaluation -- Data Requirements -- Is DALL-E Part of Generative AI? -- Are ChatGPT-3 and GPT-4 Part of Generative AI? -- Artificial General Intelligence Versus Generative AI -- Generative AI Versus ML, DL, NLP, and RL -- Which Fields Benefit the Most from Generative AI? -- How Will the Enterprise Space Benefit from Generative AI? -- The Impact of Generative AI on Jobs -- What is Artificial General Intelligence (AGI)? -- When Will AGI Arrive? -- How Can We Prepare for AGI? -- Will AGI Control the World? -- Should Humans Fear AGI? -- Beyond AGI -- DeepMind -- DeepMind and Games -- Player of Games (PoG) -- OpenAI -- Cohere -- Hugging Face -- Hugging Face Libraries -- Hugging Face Model Hub -- AI21 -- Anthropic and Claude 3 -- Advantages of Claude 3 -- Limitations of Claude 3 -- Is Claude 3 Part of Generative AI? -- Llama 3 -- What is Perplexity? -- Perplexity Versus Google Search -- What is Meta AI? -- What are LLMs? -- What is the Purpose of LLMs? -- Model Size Versus Training Set Size -- Do LLMs Understand Language? -- Caveats Regarding LLMs -- Pitfalls of Working with LLMs -- A Brief History of Modern LLMs -- Aspects of LLM Development -- LLM Size Versus Performance -- Emergent Abilities of LLMs -- Kaplan and Under-Trained Models -- Real-World Use Cases for Generative AI -- Sunmmary -- Chapter 2 Prompt Engineering -- What is Prompt Engineering? -- Prompts and Completions -- Types of Prompts -- Instruction Prompts -- Reverse Prompts. |
| Physical Description: | 1 Online-Ressource (xv, 250 Seiten) |
| ISBN: | 9781501520914 |
| DOI: | 10.1515/9781501520914 |
Staff View
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| spellingShingle | Campesato, Oswald CSS3 and SVG with Perplexity Cascading Style Sheets 3.0 (DE-588)7750895-6 gnd SVG (DE-588)4658480-8 gnd |
| subject_GND | (DE-588)7750895-6 (DE-588)4658480-8 |
| title | CSS3 and SVG with Perplexity |
| title_auth | CSS3 and SVG with Perplexity |
| title_exact_search | CSS3 and SVG with Perplexity |
| title_full | CSS3 and SVG with Perplexity Oswald Campesato |
| title_fullStr | CSS3 and SVG with Perplexity Oswald Campesato |
| title_full_unstemmed | CSS3 and SVG with Perplexity Oswald Campesato |
| title_short | CSS3 and SVG with Perplexity |
| title_sort | css3 and svg with perplexity |
| topic | Cascading Style Sheets 3.0 (DE-588)7750895-6 gnd SVG (DE-588)4658480-8 gnd |
| topic_facet | Cascading Style Sheets 3.0 SVG |
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