𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐢𝐞𝐬 𝐨𝐟 𝐋𝐋𝐌 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: 𝐀 𝐑𝐞𝐚𝐥-𝐖𝐨𝐫𝐥𝐝 𝐆𝐮𝐢𝐝𝐞 In the data sphere, there's one subject that consistently dominates the conversation: 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (LLMs). While there's considerable buzz about the potential of LLMs to make proprietary data interactive and conversational, the true challenges lie within the corporate-level infrastructure. The focus extends beyond the application of retrieval-augmented generation (RAG) models on demo data to their genuine integration into your business processes, supported by a robust corporate-level infrastructure. Many providers dangle the carrot of easy implementation, claiming their LLMs can be successfully integrated 'with a single click'. However, the reality is far more nuanced. Post Proof of Concept (PoC), the real work begins: operational deployment. Your data team must evolve into a multifaceted force, combining the skills of network experts, security specialists, infrastructure managers, app developers, and cloud engineers. It often requires pioneering efforts and a symphony of diverse capabilities. The challenges are multifarious: - How do you deploy RAG models with live data into a secure production environment? - What role do differences between Python REST API Calls and Python SDKs play in this process? - How can you effectively orchestrate LLMs and data? - What testing protocols ensure functionality? - What level of monitoring is necessary? - Lastly, how do you integrate RAG models at a corporate level? If you're looking to move beyond just talking about LLMs and aim to successfully integrate them into your production environment, we are your go-to experts. With our deep expertise and project experience, we will guide you through the entire process – from theory to successful implementation. Contact us to deploy your RAG approach effectively and create tangible value for your business.
DataWrk
Technology, Information and Internet
London, England 452 followers
A close-knit network of proven, pragmatic and independent data professionals, focused on delivering outstanding work.
About us
What roles do we provide? Our network of data specialists includes data analysts, data scientists, machine learning and data engineers, data governance professionals, and project managers. Together, they work to collect, analyse and interpret data, using advanced techniques and technologies to provide valuable insights, automate processes and optimize performance, ensuring data quality, security, and compliance. What value do we bring? Together we help our clients achieve their business objectives by leveraging data in various ways. We work to unlock top-line growth by using customer data to identify new revenue streams and target new markets. We provide robust insights for decisions by analysing data and creating predictive models to inform strategic planning. Additionally, we drive value creation by implementing cutting-edge technologies such as AI and automation to improve long-term efficiency and streamline operations. Who are we working with? We specialize in working with private equity firms and companies they own, leveraging our wealth of experience to drive success through data-driven solutions. Our expertise also extends to a variety of other industries, allowing us to provide value to a wide range of clients. Who stands behind DataWrk? As a collective of freelancers, we came together to form a network of highly skilled data professionals where each member has proven experience in working independently and in teams. We work in a collaborative and equal environment, where everyone has the autonomy to push ideas, challenge our system and take ownership. We are united by our shared values of independence, equality, and the will for using data to drive success for our clients and society.
- Website
-
http://www.datawrk.com
External link for DataWrk
- Industry
- Technology, Information and Internet
- Company size
- 11-50 employees
- Headquarters
- London, England
- Type
- Privately Held
Locations
-
Primary
Get directions
Shelton Street
London, England, GB
-
Get directions
Nehringstraße
Berlin, BE 14059, DE
Employees at DataWrk
-
Chris Pike
Strategic Data/AI/ML Specialist | End-to-End Data and AI Solutions | Bridging Business Strategy and Technical Execution
-
Yanika Borg
thedataknitters.com | Data analytics & storytelling | Data literacy | Data analytics strategy
-
Johnny Ridd
Powering closer collaboration between the professions
-
Michael Gramlich
Freelance Machine Learning Engineer/ Data Scientist | Instructor | Bestselling Author