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17 results for “models” (members search the full text)

• GuideBuilderLlamaRunning Open Models: Llama, Mistral and DeepSeek ExplainedWhat open-weight models are, why people run them locally or via hosting providers, and how to get started while respecting hardware limits and licenses.
• Q&AStarterAny assistantDoes the AI company use my conversations to train its models?It depends on the company, the product, your plan and your settings, so check the current policy for the service you use.
• Q&AStarterAny assistantHow do I compare two AI models fairly?Run the same prompts on each model in fresh chats and judge the results against criteria you set beforehand.
• Q&AStarterAny assistantWhat does the temperature setting do in AI models?Temperature controls how much randomness the model uses when picking each next word.
• PromptProAny assistantWrite Clear Tool Descriptions for an AgentModels choose tools mostly from their descriptions, so clear "when to use and when not to" text improves decisions.
• Q&AStarterAny assistantHow can I keep AI API costs under control?Control API costs by sending fewer tokens, choosing cheaper models where they are good enough, and setting limits.
• Q&AStarterDeepSeekWhat is DeepSeek and is it safe to use?DeepSeek is an AI company that offers an assistant and models, some of which are published as open weights.
• Q&AStarterLlamaWhat is Llama and can I run it on my own computer?Llama is a family of AI models released by Meta as open-weight models, which means you can download them under a license.
• Q&AStarterMistralWhat is Mistral AI and what is Le Chat?Mistral AI is a European AI company that releases language models and offers an assistant app, called Le Chat, plus an API for developers.
• Q&AStarterAny assistantWhy does AI give different answers to the same question each time?AI answers vary because models choose words with some randomness, so the same prompt can produce different wording or even different conclusions.
• GuideStarterAny assistantChoosing the Right AI Model for the JobA practical framework for picking between assistants and model sizes based on task, privacy, cost and speed, without chasing leaderboards.
• GuideStarterAny assistantHow AI Assistants Actually Work (Without the Jargon)A plain-English tour of what happens when you type a message to an AI assistant, and why that explains both its strengths and its odd mistakes.
• GuideBuilderAny assistantPrompt Patterns That Work Across Every AssistantSeven reusable prompting patterns, from role and few-shot examples to critique loops, with templates you can paste into any chatbot.
• GuideStarterAny assistantWhy AI Gets Things Wrong, and How to Catch ItUnderstand hallucinations, outdated knowledge and false confidence, then use a practical verification routine to keep errors out of your work.
• GuideProAny assistantGiving Agents Tools Safely: Permissions, Limits and ApprovalsHow to design agent tools with least privilege, spending caps, confirmation steps and audit logs so a mistake stays small and reversible.
• PromptStarterAny assistantExplain a Concept at My LevelAnalogy plus example gives two ways in.
• PromptBuilderDeepSeekWork Through a Problem and Verify ItA second method catches slips that a single pass can hide.