Generate research insights and experimental code with an intelligent ML research assistant.
Try ProspectML APIProspectML helps researchers generate insights and code to accelerate AI research.
ProspectML searches papers and research databases to create comprehensive summaries and identify trends..
GET /searches/api/literature-search/?query="transformer architectures evolution"
Our agent helps researchers explore new ideas and accelerate their workflow, from literature reviews to hypothesis testing and model evaluation.
GET /agents/api/new_agent?prompt="fine-tune a 4-bit quantized
llama 3.3 70B model on Databricks-Dolly-15k dataset"
Trusted by researchers and engineers to accelerate ML ressearch.
Automate literature reviews and experiments to accelerate research.
Prototype and test models quickly without boilerplate code.
Focus on novel ideas while our agent handles literature reviews, code generation, and experimentation.
Integrate ProspectML capabilities directly into your workflow
import prospectml
client = prospectml.Client(api_key="your_key")
# Get research synthesis
analysis = client.research.synthesize(
query="recent advances in LLM training",
papers_limit=50
)
# Run an experiment
experiment = client.experiment.run(
task="fine-tune-llm",
model="mistral-7b",
dataset="custom-instruction-dataset",
params={"epochs": 3, "learning_rate": 2e-5}
)/searches/api/literature-search/
/searches/api/summarize/
/agents/api/new-agent/
/agents/api/poll-results/