Large language models are part of generative AI applications and can be customized for diverse business needs. Here, we will discuss tips for hiring the right LLM consultant for a business and the factors every CEO must know about generative AI.
Businesses today should adopt the latest technology to survive market competition. This includes generative AI and large language models (LLMs), which can transform businesses in many ways.
According to a survey report by McKinsey, around 65% of companies that responded are using generative AI in their businesses. The figure has doubled in less than a year, indicating the growing popularity of GenAI and LLMs in the market. Additionally, the report shows that large language models are being used for more business functions than in the previous survey. 50% of responders use generative AI for two or more functions.
Most organizations rely on third-party or offshore service providers and GenAI consulting services to bridge the talent and technological gap in their business. Your success depends on hiring the right LLM consultant to work with your establishment. The right service provider understands your requirements and aligns your business mission, vision, goals, and objectives with the LLM strategic implementation plan.
Here, let’s discuss how to hire LLM consultant for your business and learn more about generative AI. We’ll answer questions like what is LLM’s full form in AI, what LLM is in generative AI, and so on.
Read on!
LLM stands for Large Language Model. It is a deep learning model that can read and train on large datasets and perform language processing tasks. The models are trained to create outputs that combine different types of text and can mimic human language.
LLMs are a subset of artificial intelligence like machine learning, deep learning, and natural language processing. These can be used for quicker and more effective AI Product Development in different industries.
Generative AI applications like ChatGPT are built on LLMs and foundation models (complex machine learning models) to understand the input data and provide a relevant output in the user’s preferred format. Large language models handle the text-generation part of generative AI. That means all LLMs belong to the generative AI models but gen AI doesn’t have to use LLMs.
For example, ChatGPT gives textual output while platforms like Microsoft Bing use text to generate images as output. LLMs are used in ChatGPT while other foundation models are used in Bing to convert text input to image output.
Businesses that want to adopt GenAI and large language models often face the tough question. Which LLM is right for their operations? With so many models already available in the market, it can be confusing to pick the right one.
There is no definite answer to this question. When you hire LLM consultants, they will analyze your business needs and identify the best model to help you achieve your goals. Service providers consider factors like the size of the model, availability, architecture type, training process, and benchmarked performance. LLMs are broadly classified into three categories – encoder-only, decoder-only, and encoder-decoder. BART is an encoder-decoder model, while GPT is decoder-only and BERT is encoder-only. The right LLM consultant will choose the perfect large language model for your business and set up the necessary integrations. They will customize the model and train it on your proprietary data to increase its efficiency and accuracy.
Since large language model development and integration is a part of AI services, you need to hire a reputed AI/ ML company for the project. However, not every artificial intelligence company works with LLMs. Partner with LLM consulting companies or generative AI companies based on the factors below.
While most tips for hiring an LLM consulting provider focus on the capabilities of the service provider, it is equally important to consider your requirements and goals. Do you already use AI applications? Did you begin your digital transformation journey? What do you aim to achieve in the next five or ten years? If you are yet to adopt new technologies, you will need an end-to-end AI and LLM consulting company to guide you through the entire process.
The second aspect to consider is the talent on your payroll. Do you have AI engineers and developers in-house? Can your existing employees be trained to use the LLMs? The lack of required talent in your establishment implies the need to make alternative arrangements. You will find it easier to outsource the project to expert AI product development companies and LLM consultants. You also have to create training modules to bridge the gap within your enterprise or opt for staff augmentation to bring fresh talent capable of using new technologies.
Large language model consulting companies should have the necessary technical and domain expertise to work with complex deep learning and foundation models required to build generative AI applications. They also need to have expertise in data engineering and management. The LLMs can be efficient and accurate only when they are trained on high-quality data. The consultants should clean and process the datasets before training the models on them. Additionally, they should integrate the LLM with your existing systems to share the outputs through personalized dashboards.
Artificial intelligence and large language models don’t offer standard solutions. There’s no one-size-fits-all theory in LLM integration best practices. The approach is tailored for each business based on your budget, priorities, existing systems, long-term plan, and other factors. The right LLM consultant will know how and what to include in your LLM journey.
Use cases and project portfolios tell the success stories of the LLM consultant. When hiring GenAI consulting services, make sure to ask for more information about relevant projects the experts worked on. Many companies include these details on their website and will provide additional information during your meetings. This will give you confidence in implementing AI development in your business. You might also get some good ideas by studying the use cases and finding better solutions for the business challenges.
Businesses in different sectors have to adhere to industry-specific standards and guidelines. You should consider your competitors and their approach to adopting AI product development for generative AI applications. Partner with LLM consultants who have prior experience in your industry. This will make them knowledgeable about the distinct problems that exist in the sector and the ways to overcome them using the right technology.
AI and LLMs rely on vast amounts of data to deliver the results. Businesses should take care of data security and privacy regulations when training LLMs on customer data. A reputed large language model consulting company will adhere to the necessary data privacy regulations based on your industry and location. The consultant will also take care of security standards to prevent cyberattacks and keep confidential data safe.
Large language models need regular maintenance and continuous monitoring. You cannot deploy them in your business and forget all about it. Partner with a service provider who offers long-term maintenance and priority support. That way, you can rely on them for debugging, upgrading, and continuous assistance at any given point.
It is never easy working with someone who doesn’t answer your questions or keep you updated. How will your employees work efficiently when they don’t have access to the necessary information or if things get delayed? Look for LLM consulting companies that can clearly communicate what they can do for your business. They should answer your questions and deliver the project according to the timeline. In short, find an accountable AI development company to work with.
Businesses grow over time. You add new customers to your database. There will be more transactions and a lot more data generated every day. In such instances, it will be beneficial to work with a large language model consulting partner that can future-proof your business and offer scalable solutions. Similarly, the company should offer customized and tailor-made services based on your specific requirements.
The CEOs cannot be passive or uninformed about generative AI in today’s world. You should know how it can help your organization and consider the challenges when implementing it in your business. Though GenAI consulting services are offered by third-party companies, you cannot stay away from them.
Here are some pointers to keep in mind for LLM consulting for CEOs:
Generative AI applications are trained on large amounts of data (public and proprietary). For this, you need to know how much data is necessary to build a reliable model and use it for day-to-day business activities. The data should be of high quality and align with your priorities.
Don’t expect to solve all your business problems in one move. That’s not how generative AI works. LLM consulting companies will offer comprehensive solutions when you prioritize your issues and tackle them step by step. Know which ones need to be handled first.
As a CEO, you should be an active participant in planning and implementing new technology. Keep your employees updated and involved in the process. Focus on making the most of the learning opportunities to strengthen your in-house talent pool. Also, make contingency plans and be prepared to mitigate risky situations.
When hiring AI product development companies to adopt the latest technologies and applications in your business, it is prudent to consider multiple factors before making the final decision. Choose a partner you want to work with for the next five or ten years if not more.
When the working methodologies and ideas align, it creates a better environment in your business. At the same time, consider the pricing models and your budget. Generative AI is expensive but delivers great returns in the long run. Partnering with reliable LLM consulting companies can streamline your business and help achieve your goals.
Fact checked by –
Akansha Rani ~ Content Creator & Copy Writer
