TechTalks
Ben DicksonIn-depth discussions about machine learning, deep learning, reinforcement learning, neural networks, artificial general intelligence, AI business, and other technology trends.
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 348 | Subscribers | Read | bdtechtalks.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
How OpenAI became a $150 billion company—and lost its way
OpenAI has just raised $6.6 billion in funding at a $157 billion valuation to become one of the most valuable private companies in the world. The company now has a good chunk of cash to spend on training and shipping better models.
AgentTorch can simulate millions of LLM agents on commodity hardware
Agent-based models (ABMs) are software that simulate the dynamics of populations. ABMs can help analyze past events, evaluate counterfactuals, and predict future effects of policies, assisting in policy questions by simulating how intervent...
How to teach LLMs to self-correct their answers
When dealing with complicated tasks, LLMs might fail on the first try but get the correct answer if given the chance to review and correct their output (we humans often need to rethink and review our answers).
The 4 levels of RAG complexity
Retrieval augmented generation (RAG) is one of the important techniques to augment LLMs with external data. However, simple RAG cannot address all tasks that require data-augmented LLMs, or as a new study by Microsoft Research says, “Data a...
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Authors
The writers behind this newsletter.
Software engineer, tech analyst, founder of TechTalks
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