Exploring the Big Names in Large Language Models Consulting

By: Sameer Somal |  September 17, 2024

Overview:

  • Large language models are in high demand.
  • Custom-trained LLMs are huge assets for industrial growth.
  • LLM consulting companies train and fine-tune AI Models based on domain expertise.

A large language model uses deep learning algorithms and extensive datasets to perform various natural language processing (NLP) tasks. These models can recognize, translate, and generate text. In addition to understanding human languages, LLMs assist with writing code, summarizing documents, and more.

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Source : Unsplash

As they continue to improve, they offer problem-solving solutions more easily and conversationally. They can be trained for tasks such as translation, sentiment analysis, digital transformation, and information retrieval. Many companies use AI Models to automate tasks like data analysis, virtual assistance, and chatbots. These models enhance speed and reduce the need for manual supervision. Fine-tuned and pre-trained LLMs can be customized to provide context-rich responses aligned with a company’s business strategy. Hence, LLM Consulting Companies are rising in demand as more and more firms require customized AI solutions.

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Top 6 LLM Consulting Companies

Here are the leading large language model consulting companies:

InData Labs

Established in 2014, InData Labs was founded by Marat Karpeko. The company offers an extensive range of services from productive analytics and big data to NLP and OVR. They offer customized solutions by training LLMs based on unique datasets. InData Labs employs Generative AI to build personalized AI models with expertise and cross-domain experience. Focusing on providing optimal results, InData Labs starts with strategy and consulting plans for Large Language Models. Once the initial layout is mutually approved, the company begins developing the large language model. The process further involves fine-tuning, API integration, and running automation. InData Labs assists clients with regular support, model monitoring, and maintenance checks.

LeewayHertz

This is a leading software development company that provides tailor-made solutions for all their digital clients. Founded by Akash Takyar, LeewayHertz has over 250 employees with technical command in Generative AI, model development, and AI engineering. Their strategy begins with an extensive discussion to understand the client’s needs, followed by the creation of custom LLMs. Their skill set includes integrating new models from scratch and upgrading current models to improve functionality and business alignment. LeewayHertz’s solutions, which focus on improving operational excellence, are aimed at improving precision, productivity, and profitability in their clients’ operations. Their service package covers development to maintenance stages, thus proving worthy of their client’s investment and trust.

Arcee.ai

Founded by Mark McQuade, Jacob Solawetz, and Brian Benedict, Arcee is known for offering efficient and domain-specific LLMs. These are based on deep knowledge of the technical and business aspects of neural networks. Arcee provides curated large language models which they refer to as Small Language Models (SLMs). Gaining traction in 2023, the company fulfills the market need for acutely specialized AI models that automate domain-specific tasks. Their end-to-end services include pre-training, fine-tuning, model interface optimization, deployment and maintenance. Arcee uses open-source large language models and fine-tunes them with personalized datasets to accommodate their client’s needs. They have proved their competence by working with leading companies like Hugging Face, Roboflow, and Tecton.

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Source : Freepik

DataToBiz

Counted among the growing large language model consulting companies in the US, DataToBiz is a prominent name in the field. Their seamless combination of Gen AI and advanced language processing inputs results in individualized LLM optimization. An LLM customized by DataToBiz enables enterprises to increase customer interactions, automate content generation, and glean deeper insights. DataToBiz’s procedure involves Retrieval Augmented Generation (RAG) based model development, specialized training, and fine-tuning. The company provides services like data engineering, machine learning, natural language processing, computer vision, and business intelligence. DataToBiz is known for its strong NLP algorithms through remarkable products such as SensiblyAI, PrepAI, and Hirelake AI.

 

Deeper Insights

Known for its characteristic platform Floating Point, Deeper Insights has clients from retail, healthcare, real estate, and financial firms. The company is based in the UK and has offices in Europe and USA. Their platform Floating Point provides a curated framework for your business. Deeper Insights integrates the use of raw data sets and external data for analysis and modeling. Their training techniques revolve around model sensitivity and cloud integration to identify, review, and repeat successful iterations. To ensure continued productive function, their platform monitors large language models for data drifts and accuracy over time. The company offers real-time data science consulting services, AI exploration, and computer vision.

Blue Ocean Global Technology LLC

Blue Ocean Global Technology LLC is one of the LLM Consulting Companies that offers a myriad of services in Data Annotation. We provide Image Classification, Object Detection, Image Captioning, and Audio Annotation. Moreover, As an LLM Consulting Company, our team identifies terminology relevant to your domain needs. Hence, we create customized data sets to label your AI Models more accurately.

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Industry Applications and Case Studies Involving LLM Consulting Companies

Healthcare:

LLMs are also called neural networks as their base frames are copied from human critical thinking processes. They can understand proteins, molecules, DNA, and RNA. This allows them to aid the production of vaccines and assist scientists in inventing cures. AI Models have been employed for medical research, patient interaction, and administrative tasks in healthcare.

Case Study: CompanionMX is a mental health analysis tool developed by MIT. It uses LLMs to provide patient diagnosis and treatment plans based on patient data and medical literature.

Finance:

LLMs can enhance fraud detection and risk management. They can actively identify cybercrime threats and defend financial assets. The use of LLMs in the finance sector extends to customer service, economic analysis, and automated reporting. Moreover, they help make informed investments and manage portfolios efficiently.
Case Study: BloombergGPT is trained on a vast amount of financial data by Bloomberg to perform finance-specific tasks. Its primary functions are financial data processing and sentiment analysis.

Marketing:

LLMs can be used across industries through chatbots and conversational problem-solving AI. Companies integrate LLMs to generate campaign ideas and customize cold emails. They can also perform sentiment analysis, consumption behavior, brand reputation management and customer relationship management. Integrating these models in marketing firms increases productivity via chatbots, recommendation systems, and inventory management.
Case Study: Persado uses AI and machine learning, including LLMs, to optimize marketing. It is largely used to personalize customer experiences, provide real-time communication, and improve sales.

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Source : Freepik

Education:

LLMs have significantly contributed to the academic field. Many institutions have begun using them to generate content creation, student assessment, and administrative support. From making lesson plans to organizing research, these AI models have been consistent for both teaching and learning.
Case Study: Jill Watson is used by Georgia Tech as a teaching assistant. It is a knowledge-based AI that develops intelligent tutoring systems and personalized learning.

Legal:

Large language models can surf through extensive datasets and determine the required general legal information. They can be programmed to assist lawyers, paralegals, and legal staff. Legal firms can use these models for contract analysis, legal research, and compliance monitoring to accelerate their cases. Cybercrime and cyber security units have also started integrating LLMs into their database for swift inspection.
Case Study: Harvey AI implements LLM to streamline legal research and document review. Their LLM is trained and fine-tuned by legal experts.

Conclusion

Consulting companies like InData Labs, LeewayHertz, Arcee, DataToBiz, and Deeper Insights, supervise the deployment of large language models. From healthcare to legal, the scope of LLMs has the strength to transform and enhance the global workforce. The future of large language models holds immense potential. Following the rapid evolution of Generative AI, businesses must consider LLM consulting companies to stay competitive.

Frequently Asked Questions

1. What are LLM consulting companies?

LLM Consulting companies specialize in providing expert advice and solutions related to large language Models. They help companies use these technologies for various applications such as natural language processing, content generation, and customer service.

2. What services do LLM consulting companies offer?

They offer a wide range of services including consulting, strategy development, custom LLM development, fine-tuning, integration, and deployment. LLM consulting companies also provide training, support, data management, security, and performance optimization services.

3. What industries can benefit from LLM consulting services?

LLM consulting services can benefit a range of industries, including healthcare, legal, marketing, education, and finance.

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Published by Sameer Somal

Sameer Somal is the CEO of Blue Ocean Global Technology and Co-Founder of Girl Power Talk. He is a CFA Charterholder, a CFP®️ professional, and a Chartered Alternative Investment Analyst. Sameer leads client engagements focused on digital transformation, risk management, and technology development. A testifying subject matter expert witness in economic damages, intellectual property, and internet defamation, he authors CLE programs with the Philadelphia Bar Foundation. Sameer is a frequent speaker at private industry and public sector conferences, including engagements with the Federal Home Loan Bank (FHLB), Global Digital Marketing Summit, IBM, New York State Bar Association (NYBSA), US Defense Leadership Forum, and US State Department’s Foreign Service Institute. He proudly serves on the Board of Directors of Future Business Leaders of America (FBLA) and Girl Power USA. Committed to building relationships, Sameer is an active member of the Abraham Lincoln Association (ALA), Academy of Legal Studies in Business (ALSB), American Bar Association (ABA), American Marketing Association (AMA), Business Transition Council, International Trademark Association (INTA), and Society of International Business Fellows (SIBF). A graduate of Georgetown University, he held leadership roles at Bank of America, Morgan Stanley, and Scotiabank. Sameer is also a CFA Institute 2022 Inspirational Leader Award recipient and was named an Iconic Leader by the Women Economic Forum.

Sameer Somal
Sameer Somal, CFA, CFP®, CAIA

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