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Llama Tutor
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Productivity Tools (723)

Llama Tutor

Llama Tutor creates a personalized AI tutoring session from a chosen subject and education level, with an open-source implementation powered by Llama and Together AI.

Last Update: August 23, 2026

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Starting price Llama Tutor is available for free.

Tool Information

Llama Tutor is an open-source personal tutoring application built with Llama and Together AI.

A learner enters a subject and selects an education level, and the application generates an interactive tutor calibrated to that combination.It can be used across subjects such as history, personal finance, sports, and machine learning, while its public codebase lets developers inspect or extend the project.

AI explanations can contain mistakes, so learners should verify important claims against textbooks, instructors, or primary sources.

F.A.Q (20)

Llama Tutor creates a personalized AI tutoring session from a chosen subject and education level, with an open-source implementation powered by Llama and Together AI.

Its reviewed capabilities include Topic-based tutor generation, Education-level adaptation, Interactive learning conversation, Support for varied subject areas, Llama model integration, Open-source codebase, Review a difficult school topic, Explore a new subject at beginner level.

Start from the official homepage, create an account if required, provide only authorized inputs, configure the workflow, and review the result before final use.

It is designed for people or teams that need the workflow described in this listing. Fit depends on integrations, limits, data sensitivity, and required oversight.

The Visit Tool button opens the main official homepage: https://llamatutor.together.ai/

The reviewed offer includes a free plan, free tier, or trial. Check current limits before starting.

The reviewed starting offer is the tool is available for free.. Billing periods, credits, taxes, and renewal terms can change.

A free trial was not confirmed in the available source data.

Confirm cancellation, refunds, seats, credits, limits, exports, integrations, commercial rights, renewal, and taxes at checkout.

Yes. Generated or automated output can contain incorrect assumptions, missing details, artifacts, or unintended actions.

Use the minimum authorized data and review retention, deletion, training, subprocessors, permissions, and sharing settings.

Commercial use depends on the plan, input ownership, provider terms, third-party rights, and applicable law.

No. Human direction, domain expertise, quality assurance, and accountable approval remain necessary.

Topic-based tutor generation; Education-level adaptation; Interactive learning conversation; Support for varied subject areas; Llama model integration; Open-source codebase; Review a difficult school topic.

Use clear goals and examples, keep inputs accurate, test in small steps, compare variations, and correct weak output before scaling.

The official web product is available from the main homepage. Any browser, extension, desktop, mobile, or API requirements should be confirmed there.

Integration availability varies by plan and can change. Connect only necessary services and review requested permissions.

Team suitability depends on seats, workspaces, collaboration, roles, audit history, and administrative controls in the selected plan.

Check the current account and billing terms for cancellation timing, continued access, refunds, and data export or deletion.

This listing was assembled on August 23, 2026. Its logo and homepage image came only from the local TaskBoosters archive.

Pros and Cons

Pros

  • Open-source
  • Level-specific tutoring
  • Personalized learning sessions
  • Adaptive approach
  • Suitable for all education levels
  • Diverse subject coverage
  • User-defined topics

Cons

  • Requires user-specific input
  • No specified language learning
  • Limited subject diversity
  • No offline availability
  • Dependent on LLAMA 3.1
  • No mobile app version
  • May require code understanding

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