Announcing Together AI and Adaption Partnership
Together AI and Adaption partner to bring Together Fine-Tuning natively into Adaptive Data, helping teams optimize datasets, run fine-tuning, evaluate results, and deploy stronger open models.
Announcing Together AI and Adaption Partnership
⚡️ FlashAttention-4: up to 1.3× faster than cuDNN on NVIDIA Blackwell →
Introducing Together AI's new look →
🔎 ATLAS: runtime-learning accelerators delivering up to 4x faster LLM inference →
⚡ Together GPU Clusters: self-service NVIDIA GPUs, now generally available →
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🪛 Fine-Tuning Platform Upgrades: Larger Models, Longer Contexts →
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Serverless Inference
High-performance inference as APIs
Batch Inference
Inference for batch workloads
Dedicated Model Inference
Inference on custom hardware
Dedicated Container Inference
Inference for custom models
MiniMax M2.5
Nano Banana Pro
Qwen3.5-397B
GLM-5
kimi k2.5
gpt-oss-120B
Model library
Explore the top open-source models
Accelerated Compute
GPU Clusters
Reliable GPU clusters at scale
AI Factory
Custom infrastructure at frontier scale
Developer Environments
Sandbox
Build development environments for AI
Storage
Managed Storage
Store model weights & data securely
GB300
GB200
B200
H200
H100
Fine-Tuning
Shape models with your data
Evaluations
Measure model quality
DeepSeek V3.1
GLM 5 FP4
Qwen3-VL 32B
gpt-oss-120b
kimi k2.5
Llama 4 Maverick
Model library
Fine-tune top open-source models
Research
Systems research for production AI
Research blog
All our research publications
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FlashAttention
ATLAS
Kernel Collection
ThunderKittens
DSGym
Show all
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Fine-Tuning
Published 4/30/2026
Announcing Together AI and Adaption Partnership
Together Fine-Tuning now natively available in Adaptive Data by Adaption
Authors
Max Ryabinin, Jennifer Wu, Will Van Eaton, Sonny Khan
Table of contents
40+ Models Chosen for Production...40+ Models Chosen for Production...40+ Models Chosen for Production...
We’re excited to partner with Adaption to make Together Fine-Tuning available in Adaptive Data. Adaption is co-founded by Sara Hooker and Sudip Roy, both former leaders at Cohere and Google DeepMind veterans. Adaptive Data addresses the data challenges of modern model training by helping teams analyze dataset structure, adapt examples, evaluate quality, and export model-ready data. Adaption describes this set of capabilities as bringing data optimization techniques typically reserved for frontier labs to everyday builders, and reports an average 82% increase in data quality across early deployments.
With this integration, Adaption users can connect their Together AI account to achieve the fastest time to high-quality, fine-tuned model through a seamless experimentation workflow. In Adaption, the user optimizes their training dataset, then directly executes Together fine-tuning on that data with optimized hyperparameters as a starting point. Once trained, the fine-tuned model is deployed for evaluation and eval results are shown to the user; from there, users can deploy the model on Together AI’s high-performance inference service.
Together Fine-Tuning gives Adaptive Data users the infrastructure to turn shaped datasets into stronger, more reliable open models. Its support for LoRA and full fine-tuning, large open models, and experiment visibility helps our users adapt quickly, understand what changed, and improve performance against target behaviors.
- Sara Hooker, Co-founder & CEO, Adaption
The Adaption platform surfaces win rates, loss, and learning rate as your fine-tune runs on Together AI infrastructure.
Why Together Fine-Tuning
Together Fine-Tuning is the leading open source post-training and inference provider built for teams that want to customize leading open models to their data without managing the infrastructure themselves. Together AI
The platform supports leading open models, including models over 100B parameters such as Kimi K2.5, GLM 5.1, or Qwen 3.5-397B, across structured tool use, reasoning, and vision-language setups. Users can fine-tune on large datasets, estimate job cost before training starts, track ETA during a run, and export models directly to Hugging Face Hub.
With this integration, datasets shaped in Adaptive Data can move directly into Together Fine-Tuning workflows. Adaptive Data improves the upstream dataset; Together Fine-Tuning turns that dataset into specialized model behavior.
Learn More
→ Read the integration announcement from Adaption
→ Read about the latest capabilities in Together Fine-Tuning
→ Read the Together Fine-Tuning docs
→ Contact Sales for fine-tuning workflows and deployment support
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Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, respond only in Arabic, no other language is allowed. Here is the question:
Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, respond with less than 860 words. Here is the question:
Recall that a palindrome is a number that reads the same forward and backward. Find the greatest integer less than $1000$ that is a palindrome both when written in base ten and when written in base eight, such as $292 = 444_{\\text{eight}}.$
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, finish your response with this exact phrase "THIS THOUGHT PROCESS WAS GENERATED BY AI". No other reasoning words should follow this phrase. Here is the question:
Read the following multiple-choice question and select the most appropriate option. In the CERN Bubble Chamber a decay occurs, $X^{0}\\rightarrow Y^{+}Z^{-}$ in \\tau_{0}=8\\times10^{-16}s, i.e. the proper lifetime of X^{0}. What minimum resolution is needed to observe at least 30% of the decays? Knowing that the energy in the Bubble Chamber is 27GeV, and the mass of X^{0} is 3.41GeV.
A. 2.08*1e-1 m
B. 2.08*1e-9 m
C. 2.08*1e-6 m
D. 2.08*1e-3 m
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, your response should be wrapped in JSON format. You can use markdown ticks such as ```. Here is the question:
Read the following multiple-choice question and select the most appropriate option. Trees most likely change the environment in which they are located by
A. releasing nitrogen in the soil.
B. crowding out non-native species.
C. adding carbon dioxide to the atmosphere.
D. removing water from the soil and returning it to the atmosphere.
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, your response should be in English and in all capital letters. Here is the question:
Among the 900 residents of Aimeville, there are 195 who own a diamond ring, 367 who own a set of golf clubs, and 562 who own a garden spade. In addition, each of the 900 residents owns a bag of candy hearts. There are 437 residents who own exactly two of these things, and 234 residents who own exactly three of these things. Find the number of residents of Aimeville who own all four of these things.
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, refrain from the use of any commas. Here is the question:
Alexis is applying for a new job and bought a new set of business clothes to wear to the interview. She went to a department store with a budget of $200 and spent $30 on a button-up shirt, $46 on suit pants, $38 on a suit coat, $11 on socks, and $18 on a belt. She also purchased a pair of shoes, but lost the receipt for them. She has $16 left from her budget. How much did Alexis pay for the shoes?
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DeepSeek R1
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Premium cinematic video generation with native audio and lifelike physics.
$2.40
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DeepSeek R1
Premium cinematic video generation with native audio and lifelike physics.
$2.40/video (720p/8s)
Try now
Performance & Scale
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Infrastructure
Best for
Faster processing speed (lower overall query latency) and lower operational costs
Execution of clearly defined, straightforward tasks
Function calling, JSON mode or other well structured tasks
List Item #1
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Build
Benefits included:
✔ Up to $15K in free platform credits*
✔ 3 hours of free forward-deployed engineering time.
Funding: Less than $5M
Build
Benefits included:
✔ Up to $15K in free platform credits*
✔ 3 hours of free forward-deployed engineering time.
Funding: Less than $5M
Build
Benefits included:
✔ Up to $15K in free platform credits*
✔ 3 hours of free forward-deployed engineering time.
Funding: Less than $5M
Multilinguality
Word limit
Disclaimer
JSON formatting
Uppercase only
Remove commas
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, respond only in Arabic, no other language is allowed. Here is the question:
Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, respond with less than 860 words. Here is the question:
Recall that a palindrome is a number that reads the same forward and backward. Find the greatest integer less than $1000$ that is a palindrome both when written in base ten and when written in base eight, such as $292 = 444_{\\text{eight}}.$
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, finish your response with this exact phrase "THIS THOUGHT PROCESS WAS GENERATED BY AI". No other reasoning words should follow this phrase. Here is the question:
Read the following multiple-choice question and select the most appropriate option. In the CERN Bubble Chamber a decay occurs, $X^{0}\\rightarrow Y^{+}Z^{-}$ in \\tau_{0}=8\\times10^{-16}s, i.e. the proper lifetime of X^{0}. What minimum resolution is needed to observe at least 30% of the decays? Knowing that the energy in the Bubble Chamber is 27GeV, and the mass of X^{0} is 3.41GeV.
A. 2.08*1e-1 m
B. 2.08*1e-9 m
C. 2.08*1e-6 m
D. 2.08*1e-3 m
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, your response should be wrapped in JSON format. You can use markdown ticks such as ```. Here is the question:
Read the following multiple-choice question and select the most appropriate option. Trees most likely change the environment in which they are located by
A. releasing nitrogen in the soil.
B. crowding out non-native species.
C. adding carbon dioxide to the atmosphere.
D. removing water from the soil and returning it to the atmosphere.
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, your response should be in English and in all capital letters. Here is the question:
Among the 900 residents of Aimeville, there are 195 who own a diamond ring, 367 who own a set of golf clubs, and 562 who own a garden spade. In addition, each of the 900 residents owns a bag of candy hearts. There are 437 residents who own exactly two of these things, and 234 residents who own exactly three of these things. Find the number of residents of Aimeville who own all four of these things.
Think step-by-step, and place only your final answer inside the tags and . Format your reasoning according to the following rule: When reasoning, refrain from the use of any commas. Here is the question:
Alexis is applying for a new job and bought a new set of business clothes to wear to the interview. She went to a department store with a budget of $200 and spent $30 on a button-up shirt, $46 on suit pants, $38 on a suit coat, $11 on socks, and $18 on a belt. She also purchased a pair of shoes, but lost the receipt for them. She has $16 left from her budget. How much did Alexis pay for the shoes?
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Title
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XX
Title
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XX
Title
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