Generative AI Data Solutions
Generative AI Data Solutions
Supervised
Fine-Tuning
Supervised Fine-Tuning
High-Quality Data for Fine-Tuning LLMs.
High-Quality Data for Fine-Tuning LLMs.
Generative AI Data Solutions
Generative AI Data Solutions
Supervised
Fine-Tuning
Supervised Fine-Tuning
High-Quality Data for Fine-Tuning LLMs.
High-Quality Data for Fine-Tuning LLMs.
Innodata offers a full suite of services dedicated to developing and refining data for training both existing and pre-trained large language models (LLMs) through supervised fine-tuning.
With 20+ global delivery centers and a team of 5,000+ on-demand in-house experts, we ensure that the data fueling your LLM super vised fine-tuning leads to optimal model performance.
Supervised Fine-Tuning
Data Serving Scenarios,
Tasks, and Subtasks
Innodata excels in creating data to support a wide range of simple to highly complex supervised fine-tuning scenarios. Our expert teams develop high-quality training datasets across data modalities, languages, and domains, supporting a wide range of model tasks and subtasks (90+ and counting).
Scenarios
Scenarios
Chain-of-Thought & In-Context
Learning: Series of reasoning
steps laying out variables and
building up the final answers.
Data Augmentation: Imitation
data review, input inversion and
contrast/perturbations.
Dialog: Turn-by-turn
conversations.
Full Length: Original content,
professional summaries, complex
documentation, systematic
reviews.
Creation
Dialog
Document Info
Editing
Logic & Semantics
Programming
Question Answering
Translation
Textual Information
Creation
Dialog
Document Info
Editing
Logic & Semantics
Programming
Question Answering
Translation
Textual Information
Experts Across Diverse Domains
Innodata’s global on-demand teams create customized datasets that meet your domain-specific data requirements for fine-tuning LLMs.
In-house linguists, taxonomists, and subject matter experts span a range of diverse domains, including:
Caselaw, Legislations, Privacy, IP, Contracts, Tax & Accounting, International Law, International Arbitration, Regulatory Compliance
General Physics, Geo Physics, Astrophysics, Thermo Dynamics, Chemistry, Biochemistry, Geology, Biotechnology, Algebra, Calculus, Statistics & Probability
Electrical, Radio & Communications, Mechanical, Aerospace, Software Engineering
General History, Modern History, Music, Fine Arts, Electronic Arts, Copyright and Licensing
Investment Banking, Credit Rating, Risk Management, Retail Banking, Hedge Funds, Options & Futures, Collateral Risk, Derivatives, Commodities, ESG, Governance, Mortgage & Loans
Trade Books, E-books & Audio Books, Magazine & Periodicals, Educational Content, Digital Media
Payee/Payer, GCP, EHR, Clinical Science, Pharmacology, Nursing, Biomarkers, Drug Interactions, Molecular Biology, Veterinary Sciences
Drug Information, Drug Safety, Structured Product Labelling, Drug Regulations, Pharmacokinetics, Drug Interactions
Payee, Payer Processing, Underwriting, Insurance Regulations, General Insurance, Health Insurance, Vehicle Insurance, Reinsurance, Insurtech
Agriculture, Marine Biology, Oceanography, Pest & Crop Disease
Entity Recognition, Brand Tracking, Event Detection, Risk Prediction, Ad-Fraud, Spam Detection, Data Security, Fairness Evaluation
Cloudtech, Analytics, Software, Hardware, AI & Gen AI, Robotics, Smart Devices & Wearables, AR/VR, Faang
Defense, Government Information, Operations, Permits
Autonomous Driving & Vehicles, Navigation & Maps
FMCG, Pharma, Fashion & Jewelry, Ecommerce
Oil & Gas, Production & Distribution
Power Generation, and Energy Distribution
On-staff industry specialists to handle any need across domains…
Experts Across Diverse Domains
Innodata’s global on-demand teams create customized datasets that meet your domain-specific data requirements for fine-tuning LLMs. In-house linguists, taxonomists, and subject matter experts span a range of diverse domains, including:
How Innodata Accelerates Your Generative AI Fine-Tuning
Innodata accelerates your generative AI initia tives with a global network of 5,000+ in-house SMEs across all major domains. Our SMEs hold advanced degrees, including Masters and PhDs, and possess deep industry knowledge for any dataset need.
Our expert teams craft high-quality training datasets that cater to a vast array of super vised fine-tuning scenarios. This data encom passes diverse modalities (text, image, video, audio, code) and over 85 languages.
We excel in creating training datasets for even the most complex fine-tuning tasks. Our expertise spans diverse modalities, a multitude of languages, and nuanced domain-specific content.
We excel in creating training datasets for even the most complex fine-tuning tasks. Our expertise spans diverse modalities, a multitude of languages, and nuanced domain-specific content.
Innodata accelerates your generative AI initia tives with a global network of 5,000+ in-house SMEs across all major domains. Our SMEs hold advanced degrees, including Masters and PhDs, and possess deep industry knowledge for any dataset need.
Our expert teams craft high-quality training datasets that cater to a vast array of super vised fine-tuning scenarios. This data encom passes diverse modalities (text, image, video, audio, code) and over 85 languages.
Our expert teams craft high-quality training datasets that cater to a vast array of super vised fine-tuning scenarios. This data encom passes diverse modalities (text, image, video, audio, code) and over 85 languages.
Your Partner for Generative AI Model Development.
Innodata is your comprehensive Generative AI data partner. Beyond data for supervised fine-tuning, we provide services for human preference optimization, RAG development, red teaming, and model safety and evaluation services. Talk to an expert today.
Fuel Advanced AI/ML Model Development With Innodata’s Data Solutions for Generative AI
Innodata is your comprehensive Generative AI data partner. Beyond data for supervised fine-tuning, we provide services for human preference optimization, RAG development, red teaming, and model safety and evaluation services. Talk to an expert today.
