Great software, zero headaches
Large Language Models
Analyse and extract meaningful insights from your data and get data-driven recommendations to automate your workflows and reduce operational costs without extra stress. We build, test, and refine in fast cycles, so you get to value sooner.
15+
Years
expertise
140+
Happy
clients
95%
Client
retention
We build LLMs on top of ChatGPT, Gemini, Llama, Claude, Mistral and smoothly integrate them into your ecosystem. Our NLP, machine learning, and data science experts check for performance, and ensure the LLM model is fine-tuned and optimised to give an accurate result for a specific task, so you’re always confident and informed.
- User workflow design
- Dataset preparation
- Integration of existing cloud-based AI solutions from AWS, Azure, OpenAI
- Integration of LLM into your systems
We consult
As your zero-headaches software development partner, we assist in refining your business vision and outline a complex strategy for implementing language models. Our specialists identify use cases, evaluate your proprietary data, and offer actionable advice on technological infrastructure.
- Business case analysis
- Proof of Concept development
- Proprietary data overview
- Project roadmap development
We fine-tune
We enhance off-the-shelf LLMs by fine-tuning them with your data, maximising the base models’ value for your business. Our engineers refine model accuracy and efficiency to meet your unique operational needs with zero stress.
- Fine-tuning of large language models
- API integration
- Modernisation of data architecture
- Automation of large language models
We support and optimise
We guarantee quality and reliability, so your language learning models performs perfectly round the clock. Our generative AI solutions evolve alongside your business needs, from continuous optimisation to troubleshooting.
- Model monitoring and management
- Regular model updates
- Data retraining processes
- Risk management and compliance assurance
Our clients
What we bring to the table
Natural Language Processing
We turn visions into reality by developing NLP models using structured and semi-structured data and libraries such as TensorFlow, Keras, PyTorch. We extract information from search queries, internet data, business databases, and audio files, so you can quickly access valuable insights.
Few-shot Learning
Our machine learning models excel through few-shot learning when acquiring labelled data. This approach allows models to generalise from minimal labelled examples during training, optimising performance with limited data inputs.
Machine Learning
We use adaptable ML toolkits (TensorFlow, Keras, PyTorch) to build sophisticated ML solutions. These tools empower us to implement diverse algorithms, including supervised, unsupervised, and reinforcement learning methods, so you get to value sooner.
In-Context Learning
By integrating contextual information during training, we enhance models’ ability to comprehend context, enabling advanced reasoning, inference, and specialised problem-solving capabilities.
Sentiment Analysis
We employ sentiment analysis to determine the emotional tone (positive, neutral, or negative) of textual data. So, your business can refine products and services based on customer feedback and sentiment insights without unnecessary complexity.
How you can use LLM solutions
01 Content generation and automation
02 Customer support
03 Data analysis
04 Personalisation in recommendations
05 Virtual assistants
06 Language translation
You can automate content creation across domains such as journalism, marketing, and entertainment by generating human-like text based on input prompts. Streamline workflows by reducing manual effort in content production and AI text analysis with ease.
Integrating LLMs into chatbots and virtual assistants improves customer support interactions. These models contextually understand and respond to customer queries, improving the overall customer experience, so nothing keeps you up at night.
Analyse large datasets and extract meaningful insights and trends. LLMs assist businesses in making data-driven decisions by processing unstructured data from sources like social media, customer reviews, and research papers.
LLMs power recommendation systems by understanding user preferences and behaviour from text inputs. They optimise personalised content delivery in eCommerce, streaming platforms, and social media.
AI-powered virtual assistants automate customer interactions, provide personalised service, assist with troubleshooting, answer inquiries 24/7, and guide customers through the sales process. By streamlining interactions and delivering customer-centric support, they elevate customer satisfaction levels.
Automate language translation, enabling your businesses to confidently overcome language barriers and expand your global footprint. Businesses can offer real-time written and spoken translations for live chats, international events, and customer support interactions, enhancing global connectivity.
We focus on delivering tangible value in days, not months
Why Altamira?
Speed without sacrifice
By anticipating challenges and resolving them ahead of time, we keep the workflow steady and deliver results on schedule.
Deep AI expertise
With deep expertise in model development, fine-tuning, and implementation, we help businesses achieve smarter automation, accurate data analysis, and impactful decision-making with zero headaches in the process.
Trust through transparency
Acting as an extension of your team, we guarantee quality and reliability on top of clear communication, transparent workflows, and continuous improvement in our own processes.
Discover why customers choose Altamira
The team was receptive to feedback, adapting resources to ensure effective collaboration.
CTO, SOLJETS
Ryan Crawford
I am absolutely satisfied with how my app looks and functions. It is exactly what I wanted to get when I decided to go with this team.
CEO & Co-founder, Aquiline Drones
Barry Alexander
CTO, Ticker Tocker
Jonathan Kopnic
Their holistic approach was evident in how professionally they integrated our ideas with their expertise, resulting in a product that totally meets our goals.
CEO, Elula
Deveren Fogle
CEO, CTRL Golf
Ian Cash
Head of Services, Universal Edition
Andreas Bintinger
People also asked
NLP, or Natural Language Processing, is a field of artificial intelligence focused on the interaction between computers and human language. It involves tasks like language translation, sentiment analysis, and text summarisation. LLM, or Large Language Model, is a type of AI model that has been trained on vast amounts of text data to understand and generate human-like text. While NLP covers a wide range of techniques and applications, an LLM is a specific tool used within NLP to perform complex language-related tasks. Get in touch to learn more.
Yes, an LLM is a type of neural network. Specifically, it is a deep learning model that uses layers of neurons to process and generate human language. These models are typically based on architectures like transformers, which allow them to handle and generate coherent and contextually relevant text based on the data they have been trained on. Get in touch to learn more.
An LLM is a broad type of AI model designed to understand and generate text across a wide range of contexts and topics. A chat model, on the other hand, is a specialised application of an LLM tailored for conversational interactions. While both use similar underlying technology, chat models are fine-tuned to handle dialogue, maintain context over a conversation, and provide responses that mimic natural human conversation. Contact us to get a free expert consultation.
An example of an LLM model is OpenAI’s GPT-4. This model has been trained on a diverse dataset containing a wide range of internet text, enabling it to perform various language tasks such as text generation, translation, summarisation, and answering questions.
An LLM is useful for a variety of applications, including but not limited to:
- generating human-like text for chatbots
- virtual assistants
- translating languages
- summarising long documents
- answering questions
- content creation
- sentiment analysis
- improving search engine results.
Its ability to understand and generate text makes it a powerful tool for enhancing communication and automating language-related tasks. Contact us to get a free expert consultation.
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