Gen AI with Aksion
Gen AI for Business - the Why, Benefits and Risks
Why
Benefits
Benefits
Generative AI has the potential to radically transform existing economic and social frameworks, as did the internet and earlier innovations such as electricity.
Gen AI is an important tool for a company to Innovate and Differentiate itself and stay ahead of customer expectations.
Data is your competitive advantage; combined with institutional knowledge, Data enables an organization to tune the model to excel at their specific use case.
Benefits
Benefits
Benefits
Generative AI could significantly impact shareholder value by creating new and disruptive opportunities to drive enterprise goals, like:
- Decision Making
- Increase Revenue
- Customer Engagement
- Reduce Cost and Improve Productivity
- Improved Automation
- Natural Language Interactions
Generative AI, can be adapted to accomplish a broad range of tasks and tailor outputs to your organization’s unique data and domain knowledge with a specificity that was previously impossible.
Risks
Benefits
Risks
One in four organizations banned use of Gen AI over privacy and data securityrisks, threats to an organization’s legal and Intellectual Property Rights, and risk of information disclosure to the public.
Regulation: The regulatory framework is evolving, which will impact the use of copyrighted material to train the models and build explainable models.
Shadow AI: unofficial use of AI in the workplace by employees can lead to leakage of sensitive information and may cause compliance issues.
Private LLM for Enterprise
Gen AI for Business with Private LLM
Considerations for Choosing Fit-For-Purpose LLM
Considerations for Choosing Fit-For-Purpose LLM
Considerations for Choosing Fit-For-Purpose LLM
There are 300k plus opensource LLMs with billions of parameters on Hugging Face, and thousands more being added.
The LLMs can hallucinate or provide biased results if it has been trained on incomplete or biased data.
Trust, Transparency: In many instances, it is not known if there are IP issues with the data used to train the LLMs.
Compliance with Legal and Regulatory frameworks for AI, which are evolving, and the ability (obligation) to explain the results of Gen AI solutions.
For the LLMs to stay relevant as businesses reinvent and evolve, the LLMs need to be constantly updated with new sources of information.
Enabling Private LLM for Enterprise Use Cases
Considerations for Choosing Fit-For-Purpose LLM
Considerations for Choosing Fit-For-Purpose LLM
Out of the box, pre-tuned with industry leading evaluation benchmarks and fit-for-purpose LLM for Enterprise specific use cases
Plug and Play RAG pipeline to make sure that the LLM stays current and are trained on Enterprise specific institutional knowledge, avoiding hallucinations, and leakage of sensitive data.
Consume Gen AI services by embedding Gen AI into business processes via API calls; augment traditional AI by adding NLP and text summarization capabilities; and via Digital Assistants, powered by Gen AI, to augment human creativity and productivity.
Scalable Architecture and automated deployment process simplifies addition of new LLMs as the adoption and AI capabilities within the Enterprise matures. An Enterprise will need more than one LLM across its different business functions, use cases and source data.
Why Gen AI with Aksion
Affordable and Business Friendly AI Solutions from Aksion that are Customized for Business specific Use Cases and leverage AI technologies like, Gen AI, Private LLMs, ML, Computer Vision, Chat Bots and Virtual Agents.
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