AI and ML picks for crafty technologists
Crafting the future
Q: What is this? A: An occasional update on what we are doing at Fluxus, interspersed with interesting stories on the latest developments in AI/ML aimed at a technologist audience.

Q: Why now, why me? A: We are launching a new AI/ML/Data Science service line and we are highly appreciative of your support 😊

Please feel free to send any feedback to me at info@fluxus.io and I will personally respondĀ  -Django Beatty, CEO/Founder
We've just set up an AI/ML/Data Science team at Fluxus in Thailand, and we’re getting ready to launch - providing custom AI development services for clients remotely around the world.

What makes this more interesting is that we are able to provide super low rates for these skills (e.g. around 25% of comparable services in UK/EU/US), which would make this suitable for organisations who want to test the AI waters without much outlay/commitment or for those who want to run cheap experiments.

We also have extensive experience in enterprise integrations along with AWS serverless solutions and devops pipelines. So as well as developing AI/ML services, we can also integrate and run them where needed.
Case Study - Automated Moderation with Artificial Intelligence at True Digital
True Digital Group is part of the True Corporation conglomerate, and the parent of the TrueID In-Trend platform, which allows registered users to contribute local news stories for a small payment. With over 68,000 regular contributors, the site’s content moderation had to be improved. Together with Fluxus, True made the switch from human moderators to an AI and machine learning-based system. This is how we made that happen and how it helped grow the platform.
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GPT4- All Details Leaked. The details about the best LLM model…
Predicting machine learning moats
Introducing theĀ AIĀ Mirror Test, which very smart people keep failing
One of the services we are offering is custom private models, where we take existing generic language models and further train them on client data, so that they will be aware of a client’s products/services, processes, and voice.Ā 

These tailored models would then be for exclusive use of the customer.Ā 

Applications might include assessing sales approaches, understanding customer profile and LTV, customer care automation and helpdesk augmentation, marketing messaging and so on.
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A Survey of Large Language Models
Better Security with ChatGPT: Using AI's Defensive Strengths
Disinformation with LLMs: the distribution risk
Stable Diffusion with Brain Activity
We are not limited to NLP and generative AI - here are some other things the team have previously worked on, just to give you an idea of the diversity of the offering and how we can help out across all kinds of industries and applications:
  • Footstep analysis system and fall detection system from IoT vibration sensors
  • Real time aircraft tracking system
  • Railway defect detection
  • Canine white blood cell images generation and classification
  • Estimation of hand operating force from human motion measurement
  • Vision-based fish cutting system
  • Oil and gas industry - distributed pressure gauge monitoring in place using edge devices
  • Object detection
  • Real-time vehicle tracking
  • VR
  • Leptospirosis detection
  • Recommendation system for e-commerce
  • Oil spill detection from satellite images
  • Gauge pressure reading using computer vision
  • End-to-end data solutions involving oil/gas volumetric data, including data warehousing
  • MLOps
  • Risk analysis based on financial behaviour, for one of the main high-street banks
  • Text recognition and NLP combined
  • Emotional recognition using a new system of facial expression markers
  • Human height and weight prediction from voice
  • Macroeconomic indicator prediction from past financial data and news
  • Face speech animation from text
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