together-core-workflow-a

# Together AI Core Workflow A ## Overview Fine-tune open-source models on your data with Together AI's fine-tuning API. ## Instructions ### Step 1: Prepare Training Data (JSONL) ```python import json # Format: one JSON object per line with messages array training_data = [ {"messages": [ {"role": "system", "content": "You are a customer support agent."}, {"role": "user", "content": "How do I reset my password?"}, {"role": "assistant", "content": "Go to Settings > Security > Reset Password."}, ]}, {"messages": [ {"role": "user", "content": "What are your business hours?"}, {"role": "assistant", "content": "We're open Monday-Friday, 9 AM - 5 PM EST."}, ]}, ] with open("training.jsonl", "w") as f: for item in training_data: f.write(json.dumps(item) + "\n") ``` ### Step 2: Upload Training File ```python from together import Together client = Together() # Upload file file = client.files.upload(file="training.jsonl") print(f"File ID: {file.id}") ``` ### Step 3: Create Fine-Tuning Job ```python job = client.fine_tuning.create( training_file=file.id, model="meta-llama/Llama-3.3-70B-Instruct-Turbo", n_epochs=3, learning_rate=1e-5, batch_size=4, suffix="my-support-bot", ) print(f"Job ID: {job.id}, Status: {job.status}") ``` ### Step 4: Monitor Training ```python import time while True: status = client.fine_tuning.retrieve(job.id) print(f"Status: {status.status}, Step: {stat...