Rob Clark is the President and Chief Know-how Workplace (CTO) of Seekr. Rob has over 20 years of expertise in software program engineering, product administration, operations, and the event of modern synthetic intelligence and web-scale applied sciences. Earlier than becoming a member of Seekr, he led a number of synthetic intelligence and search options for a few of the world’s largest telecommunications, publishing, and e-commerce firms.
Seekr a man-made intelligence firm, creates reliable massive language fashions (LLMs) that establish, rating, and generate dependable content material at scale.
Starting with internet search, Seekr’s ongoing innovation has produced patented applied sciences enhancing internet security and worth. Their fashions, developed with knowledgeable human enter and explainability, tackle buyer wants in content material analysis, generative AI, and reliable LLM coaching and validation.
Are you able to describe the core mission of Seekr and the way it goals to distinguish itself within the aggressive AI panorama?
We based Seekr on the easy but vital precept that everybody ought to have entry to dependable, credible and reliable data – regardless of its kind or the place it exists. It doesn’t matter in case you are a web based client or a enterprise utilizing that data to make key choices – accountable AI programs permit all of us to completely and higher perceive data, as you might want to guarantee what’s popping out of Generative AI is correct and dependable.
When data is unreliable it runs the entire spectrum, for instance from extra benign sensationalism to the more serious case of coordinated inauthentic behaviors meant to mislead or affect as an alternative of inform. Seekr’s strategy to AI is to make sure the person has full transparency into the content material together with provenance, lineage and objectivity, and the flexibility to construct and leverage AI that’s clear, reliable, options explainability and has all of the guardrails so shoppers and companies alike can belief it.
Along with offering business optimized Massive Language Fashions (LLMs), Seekr has began constructing Basis Fashions differentiated by higher transparency and accuracy with decreased error and bias, together with all of the validation instruments. That is made doable by way of Seekr’s collaboration with Intel to make use of its newest technology Gaudi AI accelerators at the very best price-performance. We selected to not depend on exterior basis fashions the place the coaching information was unknown and confirmed errors and inherent bias, particularly as they’re usually educated on standard information relatively than essentially the most credible and dependable information. We anticipate to launch these in the direction of the top of the yr.
Our core product is named SeekrFlow, an entire end-to-end platform that trains, validates, deploys and scales reliable AI. It permits enterprises to leverage their information securely, to quickly develop AI they will depend on optimized for his or her business.
What are the important options of SeekrFlow, and the way does it simplify the AI improvement and deployment course of for enterprises?
SeekrFlow takes a top-down, final result first strategy, permitting enterprises to resolve issues utilizing AI with each operational efficiencies and new income alternatives by way of one cohesive platform. This integration consists of safe information entry, automated information preparation, mannequin fine-tuning inference, guardrails, validation instruments, and scaling, eliminating the necessity for a number of disparate instruments and decreasing the complexity of in-house technical expertise managing numerous points of AI improvement individually.
For enterprises, customization is vital, as a one mannequin matches all strategy doesn’t remedy distinctive enterprise issues. SeekrFlow permits clients to each cost-effectively leverage their enterprise information safely and align to their business’s particular wants. That is particularly vital in regulated industries like finance, healthcare and authorities.
Seekr’s AI assisted coaching strategy tremendously reduces the fee, time, and want for human supervision related to information labeling and acquisition, by synthesizing high-quality and domain-specific information utilizing domain-specific rules comparable to coverage paperwork, pointers, or user-provided enterprise information.
Seekr’s dedication to reliability and explainability is engrained all through SeekrFlow. No enterprise needs to deploy a mannequin to manufacturing and discover out its hallucinating, giving out mistaken data or a worst-case state of affairs comparable to making a gift of its services at no cost! SeekrFlow consists of the instruments wanted to validate fashions for reliability, to scale back errors and to transparently permit the person to see what’s impacting a mannequin’s output proper again to the unique coaching information. In the identical manner software program engineers and QA can scan, check and validate their code, we offer the identical capabilities for AI fashions.
That is all supplied at optimum value to enterprises. Our Intel collaboration working in Intel’s AI cloud permits Seekr the perfect price-performance that we cross on to our clients.
How does SeekrFlow tackle frequent points comparable to value, complexity, accuracy, and explainability in AI adoption?
Excessive value factors and shortage of AI {hardware} are two of the most important obstacles to entry going through enterprises. Due to the aforementioned collaboration with Intel, Seekr circulation has entry to huge quantities of subsequent technology AI {hardware} leveraging Intel’s AI Cloud. This offers clients with scalable and cost-effective compute sources that may deal with large-scale AI workloads leveraging each Intel Gaudi AI accelerators and AI optimized Xeon CPUs.
It’s vital to notice that SeekrFlow is cloud supplier and platform agnostic and runs on newest technology AI chips from Intel, Nvidia and past. Our aim is to summary the complexity of the AI {hardware} and keep away from vendor lock-in, whereas nonetheless unlocking all of the distinctive worth of every of the chip’s software program, instruments and ecosystem. This consists of each working within the cloud or on-premise and operated datacenters.
When constructing SeekrFlow we clearly noticed the shortage of contestability that existed in different instruments. Contestability is paramount at Seekr, as we wish to ensure the person has the precise to say one thing will not be correct and have a simple approach to resolve it. With different fashions and platforms, it’s usually troublesome or unknown learn how to even appropriate errors. Level fixes after the very fact are sometimes ineffective, for instance manipulating the enter immediate doesn’t assure the reply will probably be corrected each time or in each state of affairs. We give the person all of the instruments for transparency, explainability and a easy approach to educate and proper the mannequin in a clear person interface. From constructing on high of reliable basis fashions on the base proper by way of to easy-to-use testing and measurement instruments, SeekrFlow ensures correct outcomes that may be understood and validated. It’s important to grasp that AI guardrails aren’t simply one thing that’s good to have or to consider later – relatively, we provide clients easy to make use of explainability and contestability instruments from the beginning of implementation.
How does the platform combine information preparation, fine-tuning, internet hosting, and inference to allow sooner experimentation and adaptation of LLMs?
SeekrFlow integrates the end-to-end AI improvement course of, in a single platform. From dealing with the labeling and formatting of the info with its AI agent assisted technology strategy, to fine-tuning a base mannequin, all the best way to serving for inference and monitoring the fine-tuned mannequin. As well as, SeekrFlow’s explainability tooling permits AI modelers to find gaps within the data of the mannequin, perceive why errors and hallucinations happen, and instantly act upon them. This built-in, end-to-end strategy allows fast experimentation and mannequin iterations
What different distinctive applied sciences or methodologies has Seekr developed to make sure the accuracy and reliability of its AI fashions?
Seekr has developed patented AI expertise for assessing the standard, reliability, bias, toxicity and veracity of content material, whether or not that could be a textual content, a visible, or an audio sign. This expertise offers wealthy information and data that may be fused into any AI mannequin, within the type of coaching information, algorithms, or mannequin guardrails. In the end, Seekr’s expertise for assessing content material might be leveraged to make sure the protection, factuality, helpfulness, unbiasedness and equity of AI fashions. An instance of that is SeekrAlign, which helps manufacturers and publishers develop attain and income with accountable AI that appears on the context of content material by way of our patented Civility Scoring.
Seekr’s strategy to explainability ensures that AI mannequin responses are comprehensible and traceable. As AI fashions turn out to be concerned in choices of penalties, the necessity for AI modelers to grasp and contest mannequin choices, turns into more and more vital.
How does SeekrFlow’s precept alignment agent assist builders align AI fashions with their enterprise’s values and business rules?
SeekrFlow’s precept alignment agent is a important function that helps builders and enterprises scale back the general value of their RAG-based programs and effectively align their AI to their very own distinctive rules, values, and business rules without having to assemble and course of structured information.
The Seekr agent makes use of superior alignment algorithms to make sure that LLMs’ conduct adheres to those distinctive and predefined requirements, intentions, guidelines, or values. In the course of the coaching and inference phases, the precept alignment agent guides customers by way of the whole information preparation and fine-tuning course of whereas repeatedly integrating knowledgeable enter and moral pointers. This ensures that our AI fashions function inside acceptable boundaries.
By offering instruments to customise and implement these rules, SeekrFlow empowers enterprises to take care of management over their AI purposes, making certain that they mirror the corporate’s values and cling to authorized and business necessities. This functionality is important for constructing belief with clients and stakeholders, because it demonstrates a dedication to accountable AI.
Are you able to focus on the collaboration with OneValley and the way Seekr’s expertise powers the Haystack AI platform?
OneValley is a trusted useful resource for tens of hundreds of entrepreneurs and small to medium sized companies (SMBs) worldwide. A standard downside these leaders face is discovering the precise recommendation, services to begin and develop their enterprise. Seekr’s business particular LLMs energy OneValley’s newest product Haystack AI, which presents clients entry to huge databases of accessible merchandise, their attributes, pricing, professionals and cons and extra. Haystack AI intelligently makes suggestions to customers and solutions questions, all accessible by way of an in-app chatbot.
What particular advantages does Haystack supply to startups and SMBs, and the way does Seekr’s AI improve these advantages?
Whether or not a person wants a quick reply to know which enterprise bank card presents the best money rewards with the bottom charges per person and lowest APR or to distinction and examine two CRM programs they’re contemplating as the precise resolution, Haystack AI powered by Seekr offers them the precise solutions shortly.
Haystack AI solutions customers’ questions quickly and in essentially the most cost-effective method. Having to attend for and ask a human to reply these questions and all of the analysis that goes into this kind of course of is unmanageable for terribly busy enterprise leaders. Prospects need correct solutions they will depend on quick, with out having to trawl by way of the outcomes (and sponsored hyperlinks!) of an internet search engine. Their time is greatest spent working their core enterprise. It is a nice instance the place Seekr AI solves an actual enterprise want.
How does Seekr make sure that its AI options stay scalable and cost-effective for companies of all sizes?
The easy reply is to make sure scale and low value, you want a strategic collaboration for entry to compute at scale. Delivering scalable, cost-effective and dependable AI requires the wedding of best-in-class AI software program working on main technology {hardware}. Our collaboration with Intel includes a multi-year dedication for entry to an ever-growing quantity of AI {hardware}, together with upgrading by way of generations from present Gaudi 2 to Gaudi 3 in early 2025 and onwards onto the following chip improvements. We positioned a guess that the perfect availability and value of compute would come from the precise producer of the silicon, of which Intel is just one of two on the earth that produces its personal chips. This solves any points round shortage, particularly as we and our clients scale and guarantee the very best value efficiency that advantages the shopper.
Seekr clients working on their very own hosted service solely pay for precise utilization. We don’t cost for GPUs sat idle. SeekrFlow has a extremely aggressive pricing mannequin in comparison with contemporaries within the area, that helps the smallest to largest deployments.
Thanks for the nice interview, readers who want to study extra ought to go to Seekr.
