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Our Services
Services
AI Product for Medical Affairs Analytics
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AI for Medical Affairs: Automate medical science liaisons' CRM record analysis for Healthcare & Pharma.
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AI for Commercial Operations Management: Deploy large language models to get overviews and actionable insights into large-scale Medical Affairs.
"They had a phenomenal knowledge of AI."
Serhii Myroshnychenko, Director, Bio-Pharma Medical Evidence
"They have a phenomenal knowledge of AI."
Serhii Myroshnychenko,
Director, Bio-Pharma Medical Evidence
Retrieval-Augmented Generation (RAG) Chatbot for Enterprise & Government Institutions
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Custom Llama-2 Conversational Model: Trained with the most successful sales conversations to mimic the marketing expert's behavior and attend to every individual account's needs.
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Flexible Deployment Model: Deployed with Huggingface and LangChain for easy model upgrading and swapping.
"Their skill, spirit to build the right solution, sense of ownership, and responsiveness are all impressive."
Sanjib Nayak, Founder & CEO
"Their skill, spirit to build the right solution, sense of ownership, and responsiveness are all impressive."
Sanjib Nayak,
Founder & CEO
AI Product Strategy and Implementation Plan for Generative AI Startups
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AI Competitive Advantage: Planning how to deploy AI technologies to prevent latecomer competition.
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System Architecture: Generative AI deployment plan with AWS, Google Cloud Platform, Microsoft Azure, and RunPod.
"It was impressive how Shelpuk AI Technology Consulting found an individual approach to each team they worked with!"
Olena Shershun, Associate Partner
"It was impressive how Shelpuk AI Technology Consulting found an individual approach to each team they worked with!"
Olena Shershun,
Associate Partner
AI Sales Assistant Chatbot for Lead Generation
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Custom Llama-2 Conversational Model: Trained with the most successful sales conversations to mimic the marketing expert's behavior and attend to every individual account's needs.
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Flexible Deployment Model: Deployed with Huggingface and LangChain for easy model upgrading and swapping.
"They had the skills to talk about complex things in the easiest way."
Danil Yasynskyi, Founder & CEO
"They have the skills to talk about complex things in the easiest way."
Danil Yasynskyi,
Founder & CEO
AI Strategy for a Large Bank
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AI Strategy for a Large Bank: AI strategy for retail products of a large bank, developed with the partner, CX Design.
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AI Competitive Advantage: Leverage the bank's proprietary data to train custom AI models the competitors cannot replicate.
"They had the talent to keep positive momentum with both to-the-point communication and humor when necessary."
Andriy Milinevskiy, Founder & CEO
"They had the talent to keep positive momentum with both to-the-point communication and humor when necessary."
Andriy Milinevskiy,
Founder & CEO
AI Strategy for Generative AI Platform
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AI Product Design & Development: Enhanced the client's product offerings, user engagement, and operational efficiency.
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Custom Generative AI Models: Fine-tuned Llama 3, Mistral, and other open-access generative AI models with customer's data to build an AI competitive advantage positive feedback loop.
"The team's strategic insight, technical prowess, and support have been instrumental in the success of our initiatives"
Vit Duk, Founder & CEO
"The team's strategic insight, technical prowess, and support have been instrumental in the success of our initiatives"
Vit Duk,
Founder & CEO
Shelpuk
The AI Compass
January 22, 2025
Your competitors are keeping an eye on AI — are you? We want to make it easy. Each week, we select and demystify the top five AI news items for business, product, and technology leaders.
Cut through the noise! Spend just five minutes per week with The AI Compass to stay ahead and make informed decisions.
Business
• The US government has announced new regulations to restrict AI chip and technology exports, aiming to maintain its dominant status in AI and control the flow of chips and global development of AI.
• CEOs from top companies such as AWS and PepsiCo shared their insights on what’s needed to scale AI, emphasizing the importance of having the right infrastructure in place and adopting a structured approach.
• The second wave of AI coding is transforming the software development landscape, with AI coding assistants becoming more prevalent and changing the role and requirements of human software engineers.
• AI model scaling is entering a new era, with newer, more efficient techniques being developed to overcome the limitations of traditional scaling methods.
• The development of more efficient AI models is crucial for advancing the field of AI and reducing the environmental impact of AI research, with new benchmarks and evaluation methods being developed to assess the performance of AI models.
Product
• OpenAI increases lobbying efforts by nearly sevenfold, sparking concerns about AI policy and regulation.
• The payments industry is revolutionized by AI, but risks of AI-powered fraud and scams rise.
• Banks must balance AI rewards with risk management and security concerns, as model poisoning and adversarial attacks become major threats.
• The energy demands of AI pose significant sustainability challenges, with data centers consuming over 4% of the US's total electricity.
• AI diagnosis of cancer faces challenges in accuracy thresholds, data limitations, and benchmarking, highlighting the need for diverse training data and careful evaluation.
Technology
• SoundHound AI introduces an in-vehicle voice commerce platform, sending its stock surging over 21% and partnering with major brands like Hyundai and Chipotle.
• OpenAI predicts AI agents will revolutionize task completion by 2025, with potential to make Siri and Alexa truly useful, but experts warn of risks and challenges.
• Code generation through reinforcement learning from code execution feedback (RLCEF) emerges as a key to unlocking AI's potential, with Microsoft and Google investing in renewable energy and efficient AI models.
• Crypto and AI markets experience significant gains, with AI tokens surging by over 30% and investors watching closely, but concerns about sustainability and environmental impacts grow.
• OpenAI CEO Sam Altman urges caution on AGI hype, warning of potential risks and consequences of creating superintelligent machines, as experts emphasize the need for responsible development and safety protocols.
Business
• The US government has announced new regulations to restrict AI chip and technology exports, aiming to maintain its dominant status in AI and control the flow of chips and global development of AI.
• CEOs from top companies such as AWS and PepsiCo shared their insights on what’s needed to scale AI, emphasizing the importance of having the right infrastructure in place and adopting a structured approach.
• The second wave of AI coding is transforming the software development landscape, with AI coding assistants becoming more prevalent and changing the role and requirements of human software engineers.
• AI model scaling is entering a new era, with newer, more efficient techniques being developed to overcome the limitations of traditional scaling methods.
• The development of more efficient AI models is crucial for advancing the field of AI and reducing the environmental impact of AI research, with new benchmarks and evaluation methods being developed to assess the performance of AI models.
Product
• OpenAI increases lobbying efforts by nearly sevenfold, sparking concerns about AI policy and regulation.
• The payments industry is revolutionized by AI, but risks of AI-powered fraud and scams rise.
• Banks must balance AI rewards with risk management and security concerns, as model poisoning and adversarial attacks become major threats.
• The energy demands of AI pose significant sustainability challenges, with data centers consuming over 4% of the US's total electricity.
• AI diagnosis of cancer faces challenges in accuracy thresholds, data limitations, and benchmarking, highlighting the need for diverse training data and careful evaluation.
Technology
• SoundHound AI introduces an in-vehicle voice commerce platform, sending its stock surging over 21% and partnering with major brands like Hyundai and Chipotle.
• OpenAI predicts AI agents will revolutionize task completion by 2025, with potential to make Siri and Alexa truly useful, but experts warn of risks and challenges.
• Code generation through reinforcement learning from code execution feedback (RLCEF) emerges as a key to unlocking AI's potential, with Microsoft and Google investing in renewable energy and efficient AI models.
• Crypto and AI markets experience significant gains, with AI tokens surging by over 30% and investors watching closely, but concerns about sustainability and environmental impacts grow.
• OpenAI CEO Sam Altman urges caution on AGI hype, warning of potential risks and consequences of creating superintelligent machines, as experts emphasize the need for responsible development and safety protocols.
Read More on our Blog
