Over the past couple of years, AI solutions have become a part of the human experience, like smartphones and tablets that came before them. People use these products for different activities, including entertainment, selecting products, getting customer service, and improving various company processes.
These solutions function thanks to large language models that let them analyze and produce different types of information, including text, video, image, and audio. From newcomers to experienced developers and gigantic corporations, everybody wants to get involved. Here, we’ve selected companies that will play a pivotal role in this tech when 2024 comes around.
Table Of Contents:
WhyLabs
WhyLabs is a versatile LLM development firm that also covers data applications. The company caters to such industries as healthcare, logistics, e-commerce, and others. Its adaptable ML Observability platform lets clients optimize the performance of models and datasets for faster and more efficient performance by:
- Checking the quality of selected datasets.
- Providing insights about improving LLMs.
- Dealing with common ML issues.
- Monitoring LLM performance.
- Evaluating the security of large language models.
Unlike more business-oriented entries on this list, WhyLabs supports LLM developers and researchers of these technologies. Everybody interested in the field can check the viability of their models for AI products. Who knows, maybe their solutions will help determine the next direction of this technology.
Springs
Having a compact team doesn’t seem to stop Springs from having one of the most extensive stories regarding versatility in LLM services. This Ukrainian team started back in 2016. Over the years, Springs has built an impressive and extensive portfolio of delivered projects.
Their Ioni text-to-video solution shows the technical prowess its AI engineers can deliver. It’s a handy tool for content generation that allows anybody to avoid hiring overpriced professionals for video presentations, such as ads, instructions, and onboarding videos. Spring’s employees also work on logistics and healthcare apps, to name a few.
This company has one of the most versatile LLM products out of all entries on this list. People get high-quality chatbots, virtual assistants, analytical tools that work as software solutions, components of other products, and mobile and web apps. All thanks to a deep understanding of ML, in-context learning, NLP, and sentiment analysis.
MosaicML
Another impressive name on this list of LLM development companies, MosaicML lets organizations and individuals experiment with AI training. The company made a robust model named MPT. It’s widely popular, with millions of downloads of its MPT-7B version. The open-source LLM allows people to develop their cost-efficient solutions.
The company provides users with a full-stacked managed platform tailored to the peculiarities of different hardware and systems. With its help, anybody can create high-end LLMs to automate processes such as inventory tracking, logistics, customer support, and other vital aspects of the business to foster further growth and better revenue streams.
Lighting
While not technically an LLM development firm, Lighting AI allows people to create efficient AI solutions. It’s a platform where people build, design, train, and validate ML solutions. Funny enough, even the tech giants like Meta, Microsoft, and Amazon use its capabilities.
It’s even possible to create apps with Lightning by developing and training models, deploying them, and creating generative AI products. It’s fun to use, and making components click together is a seamless experience. The deep learning framework’s creators streamlined end-to-end ML workflow through intuitive Machine Learning Operations.
NVIDIA
In the past, NVIDIA was mainly known as the producer of gaming GPUs, but lately, it has become focused on tapping into the power of LLM services for AI solutions. This autumn, the corporation introduced a free, open-source library called TensorRT. It lets programmers experiment with new models, allowing quick performance and customization.
NVIDIA also offers its NeMo platform, where developers build, customize, and deploy LLMs. People from different parts of the world access this cloud-native framework. It’s possible to use inference and training frameworks, data curation tools, pre-trained models, and guard railing toolkits to get cost-effective, generative AI solutions.
Meta
Mark Zuckerberg’s company is a genuine software powerhouse that reshaped how social media works today. In addition to developing its virtual reality headsets and working on the ambitious Metaverse, the company shows enormous interest in artificial intelligence. Meta has announced an edition of generative AI functions across all its apps and devices.
Its employees conduct scientific studies into foundational LLMs. As of July 2023, the company offers its free open-source Llama 2 model for research and commercial purposes. This large language model has several features that make it a robust choice for conversational AI tools:
- Conversational Flow Builder.
- Customizable Personality.
- Integrated dialog management.
- Natural Language Processing.
Meta describes this LLM as having the potential to streamline the development of AI solutions. Even people who have never attempted to make such projects can develop them with the power of Llama 2. Of course, even if you have no commercial or professional interest in tech, it’s always possible to chat with the LLM or tell it to make engaging written content.
Sergey Brin’s and Larry Page’s brainchild has long grown out of its initial service as a search engine. Nowadays, the company makes everything from the world’s most popular cloud storage services and entertainment platforms to self-driving cars and delivery drones. Unsurprisingly, the tech giant has a strong presence in artificial intelligence development. Some of its most significant projects in this field include:
- DeepMind Lab.
- TensorFlow.
- Dopamine.
- AdaNet.
- Bard.
The corporation currently works on its latest large language model called PaLM 2. The result of Google’s LLM services is advertised as being capable of advanced reasoning tasks in math and code, as well as giving accurate answers, higher translation, and text generation capabilities. The solution is powerful enough to perform several actions simultaneously, leading to intricate and unique responses.
It’s a more advanced version of similar large language models, like GPT. People can access the powerful model through the PaLM API tool that allows the development of generative AI apps for virtual assistants, content platforms, and other versatile products.
OpenAI
Along with several other prominent companies in artificial intelligence, OpenAI became a powerhouse in the field of generative products. Its impressive DALLE-3 and GPT products let millions of users get information, AI-made images, and human-like chats. The company continues researching generative AI by adding new features to ChatGPT.
In September 2023, OpenAI presented an update that equipped the product with better voice and image capabilities. The company aims to teach the GPT-powered solution to have audio conversations and comment on what users show them. For example, by taking pictures with their smartphones and asking the bot for analysis.
In theory, it will be possible to take a snapshot of a study book on chemistry and ask the tool to break down a particular formula. This function will have other applications such as instant translation, finding recipes based on the contents of one’s fridge, getting measurements, and performing other activities.
Cohere
Unlike other entries on this list, the Canadian AI powerhouse doesn’t have billions of dollars of income for finding its LLM research. Despite this, the young firm has shown incredible strides in AI, probably because its founders are former Google employees. Cohere’s platform can be accessible through API and offers several advantages.
Here, programmers find a broader range of pre-trained models that can execute everyday tasks such as summarizing, classification, and establishing similarities under natural language processing. Developers can also create LLMs tailored to their training data and specific needs.
Anthropic
Another newcomer to the AI scene, Anthropic, broke away from OpenAI in 2021. The company, helmed by Daniela Amodei and Dario Amodei, has already pulled over $5.5 billion in investments as of July 2023, with 4$ billion coming from another tech giant, Amazon.
The company specializes in APIs and foundation models for businesses developing NLP solutions. Like OpenAI, Anthropic has its own generative AI product dubbed Claude. The tool is highly versatile, with a broader range of supported text-processing and conversational tasks while showing excellent reliability. Everybody interested can use Claude to get assistance with coding, creative writing, summarizing texts, and searching for information. There are currently several versions of this online platform, each offering different degrees of assistance.
Final Thoughts
The field of large language models shows no signs of stopping, and these corporations, AI development firms, and online platforms will be at the spearhead of progress in the coming year.
