Rob Clark is the President and Chief Know-how Officer (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 corporations.
Seekr a synthetic 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 skilled human enter and explainability, deal with 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 necessary precept that everybody ought to have entry to dependable, credible and reliable info – irrespective 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 info to make key selections – accountable AI programs enable all of us to completely and higher perceive info, as you should guarantee what’s popping out of Generative AI is correct and dependable.
When info is unreliable it runs the entire spectrum, for instance from extra benign sensationalism to the more severe case of coordinated inauthentic behaviors supposed to mislead or affect as an alternative of inform. Seekr’s method to AI is to make sure the consumer 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 customers and companies alike can belief it.
Along with offering business optimized Massive Language Fashions (LLMs), Seekr has began constructing Basis Fashions differentiated by better transparency and accuracy with decreased error and bias, together with all of the validation instruments. That is made doable by means of Seekr’s collaboration with Intel to make use of its newest era Gaudi AI accelerators at the absolute 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 in style information slightly 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 known as SeekrFlow, a whole 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 method, permitting enterprises to unravel issues utilizing AI with each operational efficiencies and new income alternatives by means 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 lowering the complexity of in-house technical expertise managing numerous points of AI improvement individually.
For enterprises, customization is essential, as a one mannequin matches all method doesn’t clear up distinctive enterprise issues. SeekrFlow permits prospects to each cost-effectively leverage their enterprise information safely and align to their business’s particular wants. That is particularly necessary in regulated industries like finance, healthcare and authorities.
Seekr’s AI assisted coaching method enormously reduces the associated 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, tips, 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 flawed info or a worst-case situation comparable to making a gift of its services without spending a dime! SeekrFlow consists of the instruments wanted to validate fashions for reliability, to cut back errors and to transparently enable the consumer to see what’s impacting a mannequin’s output proper again to the unique coaching information. In the identical means software program engineers and QA can scan, take a look at and validate their code, we offer the identical capabilities for AI fashions.
That is all supplied at optimum price to enterprises. Our Intel collaboration operating in Intel’s AI cloud permits Seekr the perfect price-performance that we cross on to our prospects.
How does SeekrFlow deal with widespread points comparable to price, complexity, accuracy, and explainability in AI adoption?
Excessive value factors and shortage of AI {hardware} are two of the most important obstacles to entry dealing with enterprises. Because of the aforementioned collaboration with Intel, Seekr stream has entry to huge quantities of subsequent era AI {hardware} leveraging Intel’s AI Cloud. This offers prospects with scalable and cost-effective compute assets that may deal with large-scale AI workloads leveraging each Intel Gaudi AI accelerators and AI optimized Xeon CPUs.
It’s necessary to notice that SeekrFlow is cloud supplier and platform agnostic and runs on newest era AI chips from Intel, Nvidia and past. Our objective 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 operating 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 make certain the consumer has the suitable to say one thing shouldn’t be correct and have a simple option to resolve it. With different fashions and platforms, it’s usually tough or unknown tips on how to even right errors. Level fixes after the actual fact are sometimes ineffective, for instance manipulating the enter immediate doesn’t assure the reply shall be corrected each time or in each situation. We give the consumer all of the instruments for transparency, explainability and a easy option to educate and proper the mannequin in a clear consumer interface. From constructing on prime of reliable basis fashions on the base proper by means of to easy-to-use testing and measurement instruments, SeekrFlow ensures correct outcomes that may be understood and validated. It’s important to know that AI guardrails aren’t simply one thing that’s good to have or to consider later – slightly, we provide prospects 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 quicker 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 information with its AI agent assisted era method, 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 straight act upon them. This built-in, end-to-end method permits 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 know-how 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 know-how offers wealthy information and data that may be fused into any AI mannequin, within the type of coaching information, algorithms, or mannequin guardrails. Finally, Seekr’s know-how for assessing content material may 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 means of our patented Civility Scoring.
Seekr’s method to explainability ensures that AI mannequin responses are comprehensible and traceable. As AI fashions grow to be concerned in selections of penalties, the necessity for AI modelers to know and contest mannequin selections, turns into more and more necessary.
How does SeekrFlow’s precept alignment agent assist builders align AI fashions with their enterprise’s values and business laws?
SeekrFlow’s precept alignment agent is a important characteristic that helps builders and enterprises scale back the general price of their RAG-based programs and effectively align their AI to their very own distinctive rules, values, and business laws with no need 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. Through the coaching and inference phases, the precept alignment agent guides customers by means of your complete information preparation and fine-tuning course of whereas repeatedly integrating skilled enter and moral tips. This ensures that our AI fashions function inside acceptable boundaries.
By offering instruments to customise and implement these rules, SeekrFlow empowers enterprises to keep up management over their AI functions, guaranteeing that they mirror the corporate’s values and cling to authorized and business necessities. This functionality is important for constructing belief with prospects and stakeholders, because it demonstrates a dedication to accountable AI.
Are you able to talk about the collaboration with OneValley and the way Seekr’s know-how powers the Haystack AI platform?
OneValley is a trusted useful resource for tens of 1000’s of entrepreneurs and small to medium sized companies (SMBs) worldwide. A typical drawback these leaders face is discovering the suitable recommendation, services to start out and develop their enterprise. Seekr’s business particular LLMs energy OneValley’s newest product Haystack AI, which affords prospects entry to huge databases of obtainable merchandise, their attributes, pricing, professionals and cons and extra. Haystack AI intelligently makes suggestions to customers and solutions questions, all accessible by means 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 consumer wants a quick reply to know which enterprise bank card affords the best money rewards with the bottom charges per consumer and lowest APR or to distinction and evaluate two CRM programs they’re contemplating as the suitable resolution, Haystack AI powered by Seekr offers them the suitable solutions rapidly.
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 form of course of is unmanageable for terribly busy enterprise leaders. Clients need correct solutions they will depend on quick, with out having to trawl by means of the outcomes (and sponsored hyperlinks!) of an online search engine. Their time is finest spent operating 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 straightforward reply is to make sure scale and low price, 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 operating on main era {hardware}. Our collaboration with Intel includes a multi-year dedication for entry to an ever-growing quantity of AI {hardware}, together with upgrading by means of generations from present Gaudi 2 to Gaudi 3 in early 2025 and onwards onto the subsequent 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 this planet that produces its personal chips. This solves any points round shortage, particularly as we and our prospects scale and guarantee the absolute best value efficiency that advantages the shopper.
Seekr prospects operating 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 be taught extra ought to go to Seekr.Â