10 Best Alternatives to LLaMA 2 Code algorithm
Categories- Pros ✅200K Token Context , Reduced Hallucinations and Better Instruction FollowingCons ❌High API Costs & Limited AvailabilityAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Extended Context LengthPurpose 🎯Natural Language Processing
- Pros ✅High Accuracy , Versatile Applications and Strong ReasoningCons ❌Computational Intensive & Requires Large DatasetsAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡Very HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Mixture Of Experts ArchitecturePurpose 🎯Natural Language Processing📊 is more effective on large data than LLaMA 2 Code🏢 is more adopted than LLaMA 2 Code📈 is more scalable than LLaMA 2 Code
- Pros ✅Faster Inference , Lower Costs and Maintained AccuracyCons ❌Still Computationally Expensive & API DependencyAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Efficient Architecture OptimizationPurpose 🎯Natural Language Processing⚡ learns faster than LLaMA 2 Code📊 is more effective on large data than LLaMA 2 Code🏢 is more adopted than LLaMA 2 Code📈 is more scalable than LLaMA 2 Code
- Pros ✅Code Quality & Multi-Language SupportCons ❌Resource Requirements & Limited ReasoningAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡Very HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Code SpecializationPurpose 🎯Natural Language Processing🔧 is easier to implement than LLaMA 2 Code📈 is more scalable than LLaMA 2 Code
- Pros ✅Excellent Code Quality & Strong ReasoningCons ❌Limited Availability & High ComplexityAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Code ReasoningPurpose 🎯Natural Language Processing
- Pros ✅Strong Performance, Open Source and Good DocumentationCons ❌Limited Model Sizes & Requires Fine-TuningAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Enhanced TrainingPurpose 🎯Natural Language Processing🔧 is easier to implement than LLaMA 2 Code
- Pros ✅High Adaptability & Low Memory UsageCons ❌Complex Implementation & Limited FrameworksAlgorithm Type 📊Neural NetworksPrimary Use Case 🎯Time Series ForecastingComputational Complexity ⚡HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Time-Varying SynapsesPurpose 🎯Time Series Forecasting
- Pros ✅Strong Multilingual Support , Improved Reasoning and Better Code GenerationCons ❌High Computational Requirements & Limited Public AccessAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡Very HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Improved Data QualityPurpose 🎯Natural Language Processing📊 is more effective on large data than LLaMA 2 Code📈 is more scalable than LLaMA 2 Code
- Pros ✅Multiple Programming Languages, Fill-In-Middle Capability and Commercial FriendlyCons ❌Large Model Size & High Inference CostAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Fill-In-MiddlePurpose 🎯Natural Language Processing🔧 is easier to implement than LLaMA 2 Code📈 is more scalable than LLaMA 2 Code
- Pros ✅Problem Solving & Code QualityCons ❌Limited Domains & Computational CostAlgorithm Type 📊Supervised LearningPrimary Use Case 🎯Natural Language ProcessingComputational Complexity ⚡Very HighAlgorithm Family 🏗️Neural NetworksKey Innovation 💡Code ReasoningPurpose 🎯Natural Language Processing🔧 is easier to implement than LLaMA 2 Code📊 is more effective on large data than LLaMA 2 Code📈 is more scalable than LLaMA 2 Code
- Anthropic Claude 2.1
- Anthropic Claude 2.1 uses Supervised Learning learning approach 👉 undefined.
- The primary use case of Anthropic Claude 2.1 is Natural Language Processing 👉 undefined.
- The computational complexity of Anthropic Claude 2.1 is High. 👉 undefined.
- Anthropic Claude 2.1 belongs to the Neural Networks family. 👉 undefined.
- The key innovation of Anthropic Claude 2.1 is Extended Context Length. 👍 undefined.
- Anthropic Claude 2.1 is used for Natural Language Processing 👉 undefined.
- LLaMA 3.1
- LLaMA 3.1 uses Supervised Learning learning approach 👉 undefined.
- The primary use case of LLaMA 3.1 is Natural Language Processing 👉 undefined.
- The computational complexity of LLaMA 3.1 is Very High. 👍 undefined.
- LLaMA 3.1 belongs to the Neural Networks family. 👉 undefined.
- The key innovation of LLaMA 3.1 is Mixture Of Experts Architecture. 👍 undefined.
- LLaMA 3.1 is used for Natural Language Processing 👉 undefined.
- GPT-4 Turbo
- GPT-4 Turbo uses Supervised Learning learning approach 👉 undefined.
- The primary use case of GPT-4 Turbo is Natural Language Processing 👉 undefined.
- The computational complexity of GPT-4 Turbo is High. 👉 undefined.
- GPT-4 Turbo belongs to the Neural Networks family. 👉 undefined.
- The key innovation of GPT-4 Turbo is Efficient Architecture Optimization. 👍 undefined.
- GPT-4 Turbo is used for Natural Language Processing 👉 undefined.
- PaLM-2 Coder
- PaLM-2 Coder uses Supervised Learning learning approach 👉 undefined.
- The primary use case of PaLM-2 Coder is Natural Language Processing 👉 undefined.
- The computational complexity of PaLM-2 Coder is Very High. 👍 undefined.
- PaLM-2 Coder belongs to the Neural Networks family. 👉 undefined.
- The key innovation of PaLM-2 Coder is Code Specialization.
- PaLM-2 Coder is used for Natural Language Processing 👉 undefined.
- AlphaCode 3
- AlphaCode 3 uses Supervised Learning learning approach 👉 undefined.
- The primary use case of AlphaCode 3 is Natural Language Processing 👉 undefined.
- The computational complexity of AlphaCode 3 is High. 👉 undefined.
- AlphaCode 3 belongs to the Neural Networks family. 👉 undefined.
- The key innovation of AlphaCode 3 is Code Reasoning.
- AlphaCode 3 is used for Natural Language Processing 👉 undefined.
- WizardCoder
- WizardCoder uses Supervised Learning learning approach 👉 undefined.
- The primary use case of WizardCoder is Natural Language Processing 👉 undefined.
- The computational complexity of WizardCoder is High. 👉 undefined.
- WizardCoder belongs to the Neural Networks family. 👉 undefined.
- The key innovation of WizardCoder is Enhanced Training. 👍 undefined.
- WizardCoder is used for Natural Language Processing 👉 undefined.
- Liquid Neural Networks
- Liquid Neural Networks uses Neural Networks learning approach
- The primary use case of Liquid Neural Networks is Time Series Forecasting 👍 undefined.
- The computational complexity of Liquid Neural Networks is High. 👉 undefined.
- Liquid Neural Networks belongs to the Neural Networks family. 👉 undefined.
- The key innovation of Liquid Neural Networks is Time-Varying Synapses. 👍 undefined.
- Liquid Neural Networks is used for Time Series Forecasting 👍 undefined.
- PaLM 2
- PaLM 2 uses Supervised Learning learning approach 👉 undefined.
- The primary use case of PaLM 2 is Natural Language Processing 👉 undefined.
- The computational complexity of PaLM 2 is Very High. 👍 undefined.
- PaLM 2 belongs to the Neural Networks family. 👉 undefined.
- The key innovation of PaLM 2 is Improved Data Quality. 👍 undefined.
- PaLM 2 is used for Natural Language Processing 👉 undefined.
- StarCoder 2
- StarCoder 2 uses Supervised Learning learning approach 👉 undefined.
- The primary use case of StarCoder 2 is Natural Language Processing 👉 undefined.
- The computational complexity of StarCoder 2 is High. 👉 undefined.
- StarCoder 2 belongs to the Neural Networks family. 👉 undefined.
- The key innovation of StarCoder 2 is Fill-In-Middle. 👍 undefined.
- StarCoder 2 is used for Natural Language Processing 👉 undefined.
- AlphaCode 2
- AlphaCode 2 uses Supervised Learning learning approach 👉 undefined.
- The primary use case of AlphaCode 2 is Natural Language Processing 👉 undefined.
- The computational complexity of AlphaCode 2 is Very High. 👍 undefined.
- AlphaCode 2 belongs to the Neural Networks family. 👉 undefined.
- The key innovation of AlphaCode 2 is Code Reasoning.
- AlphaCode 2 is used for Natural Language Processing 👉 undefined.