AI 101 for teams
AI here means models plus tools that do work: write, search, file jobs, and connectors. You do not need to pick a vendor model first. Ashna-X1 is the default.
AshnaAI
What you'll do
AI here means models plus tools that do work: write, search, file jobs, and connectors. You do not need to pick a vendor model first. Ashna-X1 is the default.
This guide walks through what is artificial intelligence in AshnaAI. You stay in chat. You do not need a separate desktop of buttons for each file job.
Before you start
Open AshnaAI and start a new chat.
How to what is artificial intelligence
Follow the steps below in order. Confirm in chat before AshnaAI sends, posts, or writes to Tally.
Step 1. Read the definition
AI here means models plus tools that do work: write, search, file jobs, and connectors. You do not need to pick a vendor model first. Ashna-X1 is the default.
Step 2. Open AshnaAI
Sign in at https://app.ashna.ai and start a chat, or open the agent builder.
Step 3. Try the job
Pick one job from the email or PDF cluster and run it in chat.
Step 4. What to expect
This is not a research survey of every AI subfield.
Keep in mind
This is not a research survey of every AI subfield.
Related guides
Also read use ashna x1 instead of picking models yourself.
Also read building your first ai agent.
More AI glossary how-tos live on What is RAG, hallucination, and prompt engineering.
Try it now
Open app.ashna.ai and run this job in a new chat. New accounts can start from app.ashna.ai/signup.
Frequently asked questions
- What is what is artificial intelligence?
- AI here means models plus tools that do work: write, search, file jobs, and connectors. You do not need to pick a vendor model first. Ashna-X1 is the default.
- How does AshnaAI use this?
- Start with a job, not a model bake-off.
- Do I need to train a model?
- Usually no. Prefer files, connectors, and a clear job over fine-tuning.
- Where is the glossary entry?
- Read https://www.ashna.ai/ai-glossary/artificial-intelligence
- What should I do next?
- Pick one job from the email or PDF cluster and run it in chat.
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